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Table of Content

    25 September 2020, Volume 0 Issue 9
    Intelligent diagnosis technology and service status evaluation of rail transit tunnel
    ZHAO Lifeng, TANG Chao, HOU Haiqian
    2020, 0(9):  1-6,17.  doi:10.13474/j.cnki.11-2246.2020.0272
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    The urban intelligent perception and precision measurement engineering center, which is jointly established by Wuhan University and Beijing Urban Construction Survey and Design Institute. Based on in-depth study of the current situation of subway tunnel structure monitoring, it applies mobile 3D laser measurement technology to subway tunnel structure monitoring, proposes a set of hardware integration scheme suitable for tunnel structure and disease monitoring, and develops a set of efficient and fast underground acquisition method. The method of three-dimensional geometric characteristics of spatial structure realizes the high-precision extraction to tunnel structure apparent geometric features and disease monitoring results and obtains significant social and economic benefits. In the paper, it through the development of rail transit tunnel full section intelligent identification and analysis system and testing equipment realizes the evaluation of rail transit full section disease intelligent monitoring and tunnel service status.
    Research and application of comprehensive safety management in urban rail transit protection area
    YANG Xiaofei, WU Zhenzhen, TANG Chao
    2020, 0(9):  7-11.  doi:10.13474/j.cnki.11-2246.2020.0273
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    With the continuous expansion of construction scale and the increase of operating mileage, it has brought problems to the projects along the lines such as large quantity, technology complexity, and detrimental influences on the safety of the lines under construction or operation. This paper analyzes the main factors affecting rail transit safety, puts forward an integrated solution which includes a comprehensive platform for rail transit operation safety management based on the status quo of safety management in rail transit protection area. On the basis of the standardization management of construction projects in protection area, this platform realized rapid data acquisition, processing, analysis and warning to protect safe operation of urban rail transit through advanced methods such as the Internet of Things and three-dimensional laser scanning.
    Deformation law of mining method construction for deep buried tunnel of Paleogene semi-diagenetic subway station
    WANG Binghua, WANG Zhonghua, GAO Tao, LIAO Peng, CHEN Wei, PAN Hongyi
    2020, 0(9):  12-17.  doi:10.13474/j.cnki.11-2246.2020.0274
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    Taking Qingxiushan station of Nanning rail transit line 3 as an example, this paper studies the deformation law and construction method of the deep tunnel construction of the Paleogene semi diagenetic subway station, designs a special monitoring scheme, analyzes and studies the monitoring data of the large section construction of the mining method, and focuses on the deformation of the primary and secondary structures of different construction methods, such as CD method and three step method. The research shows that the control of groundwater can ensure the safe excavation of deep tunnel and control the deformation of surrounding environment. the CD method and three step method can meet the requirements of deformation of primary support structure in Paleogene semi-diagenetic siltstone, argillaceous siltstone, local siltstone and other strata; the three step method is more economical when both CD method and three step method can be selected.
    Research and application of multi-source monitoring data in the evaluation of service status of tunnel structure
    LI Zihao, TANG Chao, WANG Bingqiang, WANG Yong, HOU Haiqian, ZHAO Lifeng
    2020, 0(9):  18-22.  doi:10.13474/j.cnki.11-2246.2020.0275
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    The service status of subway tunnel determines the safety of subway traffic and mass passengers. Based on the 3D laser scanning technology and the traditional monitoring technology, this paper obtains the key parameters of the structural diseases of the subway tunnel in service, introduces the analytic hierarchy process, demarcates the weight relationship of each disease index, establishes the weight model, combines the fuzzy comprehensive evaluation with the objective key disease data obtained by multi-source detection, and finally evaluates the in-service state of the subway tunnel. Through a large number of experimental samples, an information system for the evaluation of the service status of subway tunnel is established, which has achieved good industrial application results.
    Application of new mapping technology in intelligent construction of rail transit
    TIAN Jun, TANG Chao
    2020, 0(9):  23-26.  doi:10.13474/j.cnki.11-2246.2020.0276
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    With the completion of the 13th five year plan and the start of the 14th five year plan of the construction industry, the level of rail transit intelligent construction has been greatly improved. Through intelligent construction, it can assist the project to carry out refined intelligent management and control, to a certain extent, it can make the urban traffic construction meet the current situation and requirements of social development in China. However, there are many problems in the process of intelligent construction of rail transit. Therefore, this paper introduces new mapping technology into the existing system of rail transit intelligent construction, analyzes the main features and functions of the new mapping technology in the application, reconstructs the intelligent construction architecture system, deeply discusses the intelligent changes brought by the new mapping technology, and improves the overall level and application depth of rail transit construction.
    Machine vision inspection system of subway tunnel structure and its application analysis
    LI Jun, ZHU Guoqi, FAN Xiaodong, YANG Wei, HUANG Zhen
    2020, 0(9):  27-32,37.  doi:10.13474/j.cnki.11-2246.2020.0277
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    This paper presents a rapid machine vision detection system for subway tunnel. The system uses deep learning algorithm to effectively identify the disease features in the collected images. The software platform can facilitate tunnel managers to view and track tunnel disease information in real time. The detection system has been applied to the detection of Nanning metro, and has achieved good detection results. It can accurately identify the tunnel defects such as cracks, spalling and leakage. It also compares with the manual detection method in terms of image effect, positioning accuracy, detection efficiency, recognition rate and detection accuracy. The results show that the image acquisition effect of the system is significantly better than that of the manual method; the detection speed can reach 30 km/h; the recognition accuracy of crack, spalling and leakage can reach 89%, 100% and 94% respectively; the surface defects with an area of 100 mm2 and cracks with a width of more than 0.2 mm can be identified.
    Application of laser point cloud for disease diagnosis in subway shield tunnel
    WANG Xiaojing, TANG Chao, YANG Xiaofei
    2020, 0(9):  33-37.  doi:10.13474/j.cnki.11-2246.2020.0278
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    As a new type of measurement technology, mobile three-dimensional laser scanning technology is maturely used in subway tunnel safety monitoring. In this paper, we study 3D laser point cloud data to realize intelligent diagnosis of subway shield tunnel diseases. Firstly, the 3D laser point cloud data is converted into grayscale images, and on this basis, a convolutional neural network CNN is used to study the identification technology of water leakage and cracks in subway shield tunnels. Finally, an intelligent diagnosis system for tunnel diseases is generated. This technology provides an intelligent monitoring method for the safe operation of subways and effectively improves the technical level of subway operation monitoring in our country.
    Automatic point cloud registration method of subway tunnels based on reflection intensity images
    ZHAO Wengeng, ZHANG Xu, SHAO Qingqing
    2020, 0(9):  38-41.  doi:10.13474/j.cnki.11-2246.2020.0279
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    Aiming at the problems of low accuracy and low efficiency in registration and splicing of subway tunnel point cloud data, the characteristic points are seldom in the large perspective point cloud data. In this paper, starting from improving the registration efficiency and accuracy and based on the current mainstream ICP algorithm, the laser point cloud is generated firstly by the reflection intensity image in the way of central projection and then used as the registration source. Regular grid segmentation is adopted to extract matching and establish uniform distribution of the same name points. Then the one-to-one correspondence between the point of the same name and the point cloud on the reflection intensity image which is used to complete the initial registration among the point clouds of the angle of view. Finally, on the basis of the initial registration, KD tree improved algorithm is adopted to carry out the fine registration of point cloud data. The experimental results show that this paper not only realizes the automatic registration of point cloud data, but also improves the registration efficiency and accuracy of subway tunnel point cloud data.
    The application of oblique photography technology based on low-altitude UAV in urban rail transit construction
    FENG Zengwen, LI Ke, LI Zihao, REN Chuanbin
    2020, 0(9):  42-45.  doi:10.13474/j.cnki.11-2246.2020.0280
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    The construction of a smart subway requires the support of a three-dimensional model. The use of oblique photography technology combined with advanced three-dimensional visualization technology to construct a three-dimensional model provides data support for the smart subway, and promotes the full development of the whole life cycle of smart subway construction. This article aims to use the R1 line of urban rail transit in Xiong'an new district as the research area, a drone flight is carried out for 85 kilometers along the R1 line, a 3D real-world model of the line is obtained through processing, and the accuracy of the results is compared in detail. The results show that the results of the tilt photogrammetry met 1:500 scale requirement. In addition, the application of oblique photogrammetry technology in urban rail transit construction is introduced, which opened up a new direction for the transformation of urban rail transit construction from two-dimensional to three-dimensional.
    Extraction and analysis of subway shield ring based on mobile 3D laser scanning
    WANG Yong, WANG Bingqiang, TANG Chao
    2020, 0(9):  46-49,65.  doi:10.13474/j.cnki.11-2246.2020.0281
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    With the continuous development of rail transit in our country, urban rail transit has become an important component of public transportation. At present, our country's rail transportation safety monitoring mainly uses equipment such as total stations and station scanners for monitoring, which has the disadvantages of low monitoring efficiency, difficulty in laying monitoring points, and damage to the segment lining. Mobile 3D laser scanning is a new type of rail transit structure safety detection technology. In this paper, the mobile 3D laser scanning technology is used to obtain the data of the complete structure point cloud inside the tunnel. Extract and analyze the mobile 3D laser point cloud, process and analyze the obtained section point cloud so as to obtain the deformation of the ring piece. The experimental results show that the method is not only accurate in obtaining the deformation results of the rings, but also can extract and analyze the rings one by one, which improve the efficiency of the ring monitoring greatly.
    Application of mobile 3D laser scanning technology in convergence detection of shield tunnel
    FAN Tingli, TANG Chao, WANG Bingqiang
    2020, 0(9):  50-53.  doi:10.13474/j.cnki.11-2246.2020.0282
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    Shield tunnel convergence monitoring is an important monitoring indicator for metro operation detection. It focuses on the inadequacy of traditional monitoring equipment and monitoring methods such as convergence rulers, total stations, cross-section meters, Bassett convergence systems, and station scanners. This paper proposes a novel convergence monitoring method based on mobile 3D laser scanning. Mobile 3D laser scanning technology uses a 2D cross-section scanner combined with a variety of sensors such as mobile rail cars, inertial navigation and positioning, and encoders to work together to obtain point cloud data of the tunnel structure through manual scanning. Analysis of convergence of tube segments. The fast and comprehensive monitoring of the cross section convergence of the subway tunnel is made up for the shortcomings of low efficiency and incomplete cross section monitoring of traditional convergence monitoring. The results of engineering application examples show that this method can not only achieve fast and efficient monitoring of tunnel cross-section convergence, but also the massive point cloud data obtained can be further deepened, providing basic data guarantee for subway tunnel safety monitoring, and ensure the safe operation of the subway.
    Intensity of land development and utilization and ecological carrying capacity of coastal zone in Hainan island
    LI Tong, YAN Min, CHEN Bowei, ZHANG Li, SONG Xixi
    2020, 0(9):  54-59.  doi:10.13474/j.cnki.11-2246.2020.0283
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    With the urgent problems of increasing population pressure, land resource shortage and ecological destruction in the coastal zone of Hainan island are necessary to quantify the conditions of land use and ecological carrying capacity efficiently. Based on the land use classification and coastline dataset in 1990, 2000, 2009 and 2015, the intensity of land development and utilization and ecological carrying capacity in the coastal zone of Hainan island are evaluated and analyzed. The results show that: ① Arable land and woodland are the main land types in the coastal zone of Hainan island. ② Overall, in the past 25 years, the land use intensity in the coastal zone of Hainan island was high and increased annually. From 2000 to 2009, the land use intensity had the highest rate, reaching 2.03%. Haikou city and Chengmai county had the highest average land use intensity during the study period, which was 300.5 and 286.1 respectively. ③ Over the past 25 years, the coastal ecological situation of Hainan island has deteriorated gradually, and the actual ecological carrying capacity of 57% of the coastal cities and counties has increased more than double.
    Monitoring and analysis of the change of ecological environment in Qingdao based on remote sensing technologies
    LIU Yu, QI Jianwei, LU Hongzhong, WANG Guanghui, GAO Xinyuan, WANG Jie, ZHANG Tao
    2020, 0(9):  60-65.  doi:10.13474/j.cnki.11-2246.2020.0284
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    A series of ecological environment problems were brought with the accelerating process of urbanization. In this paper, the normalized differential vegetation index, wet, land surface temperature, normalized difference built-up and soil index are used to quantitatively represent the ecological factors of the greenness, the humidity, the heat, and the dryness. The four indicators are synthesized by the principal component analysis (PCA) method to establish a remote sensing ecological index model (RSEI). The RSEI in 2013 and 2019 are compared to evaluate the change of ecological status in Qingdao with the perspective of spatial and temporal different. The results show that the ecological environment of Qingdao is optimized and improved in some partial areas but it is decreased and deteriorated as a whole. At the same time, the RSEI of Qingdao is coupled analysis with the data of landcover changes, road networks and night lights which are related to human activities to further analyze and explore the influence factors of the ecological status change.
    Change monitoring of aquaculture ponds on the west bank of Ha Long Bay based on remote sensing technology and analysis of its impact on production-living-ecological land
    CHEN Wangmeng, LI Tong, ZHANG Li, ZHANG Hongri, YAN Min, DU Yuefei
    2020, 0(9):  66-71.  doi:10.13474/j.cnki.11-2246.2020.0285
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    Ha Long Bay is a large aquaculture area in northern Vietnam. With the expansion of the scale of aquaculture land, the spatial pattern of the surrounding production-living-ecological land (production land, living land, ecological land) is affected. Five coastal areas on the west bank of Ha Long bay are taken as the study area, and four cloud-free Landsat TM/OLI remote sensing data in 1990, 2000, 2010 and 2015 are used to monitor the land use change from 1990 to 2015 by classification and regression tree method. Based on the land use net change amount and the land use dynamic degree model, the spatial-temporal evolution pattern of the aquaculture ponds and its impact on the production-living-ecological land are quantitatively analyzed. The results show that: ① During 25 years, the area of aquaculture ponds showed a “single peak” type of increase and then decrease, with a net increase of 66.65 km2. In 2000, the area is 156.65 km2, an increase of 113% compared with 1990. Compared with 2000, the area is reduced by 11% in 2015. Overall, it has the variation characteristics of the area change of “increasing from north to decreasing in south” in quantity and “slowing from east to west in speed”. ② In the transfer area of the aquaculture ponds, the area transferred from production land to aquaculture ponds accounts for 31%, living land accounts for 4%, and ecological land accounts for 65%. The spatial pattern as a whole is bounded by the Bai Teng River and the central axis of the land, showing the rule of inward and outward movement between the north-south division and the east-west boundary. ③ The aquaculture ponds occupy 7.24 km2 of domestic land, and the two have a positive correlation, R2 is 0.46; the aquaculture ponds occupy production and ecological land areas of 55.14 and 115.14 km2, respectively, and have a negative correlation with the two, R2 is -0.96 and -0.81. The use of remote sensing technology to monitor the temporal and spatial changes of aquaculture ponds is of great significance to the planning and configuration and sustainable development of land resources.
    Purification of single building point cloud data using cloth simulation filter
    WANG Yanfeng, SHENG Yehua, QIN Jiarui, ZHANG Siyang, MIN Xiangqiang
    2020, 0(9):  72-75,84.  doi:10.13474/j.cnki.11-2246.2020.0286
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    Extracting the point cloud of single building from the whole point cloud data of the scene is the basis of 3D modeling of a single building. However, the existing methods of point cloud extraction often include some non-building data points such as vegetation and ground, which is not conducive to building object modeling. To solve this problem, this paper proposes to use CSF to purify the preliminarily extracted point cloud data of a building. Firstly, the scene point cloud data is projected to generate a point cloud image, and then the point cloud data of single building is extracted according to the image features. Secondly, the point cloud data of single building is purified with CSF method, andpure point cloud data of single building can be obtained. The method is validated in a part of Xianlin Campus of Nanjing Normal University. The results show that the method can purify the building point cloud data efficiently which facilitates the 3D model construction of a single building based on the point cloud data.
    Research on land cover change of Xiong'an New Area from 2016 to 2019
    JIA Yuna, ZHANG Wenchao, KANG Huitao, BAI Yang, BAO Jianping
    2020, 0(9):  76-79.  doi:10.13474/j.cnki.11-2246.2020.0287
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    In order to develop the “millennium plan” of Xiong'an New Area in 2017 with high quality, it is necessary to accurately grasp the urban construction and urban layout of Xiong'an New Area. Therefore, The paper uses the GF-1 remote sensing image in 2016—2019 as the research data, using the object-oriented k-nearest neighbor method to classify the land cover status of Xiong'an New Area, and combines ArcGIS software to statistics the land cover change in the research area. The results show that from 2016 to 2019, construction land, vegetation and roads are increasing year by year, while water and agricultural land are declining. The research results are closely related to the rapid development period of Xiong'an New Area, which provides a certain reference value for accurately grasping the strategic development orientation of Xiong'an New Area.
    Progressive building boundary extraction from original LiDAR point cloud data
    WEN Ping, ZHAO Fei, WU Xiaodong, WANG Ying, WANG Chong
    2020, 0(9):  80-84.  doi:10.13474/j.cnki.11-2246.2020.0288
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    Building is an important element of urban 3D modeling, and the extraction of building boundary information is both difficult and important. In this paper, a method is proposed to extract the regular building boundary from the original LiDAR point cloud data: Firstly, it uses the progressive mathematical morphology filter to separate the non ground points from the original point cloud data. Then it uses the improved 3D Hough transformation to classify the non ground points. On this basis, the key points are determined to simplify and fit the building boundary according to the azimuth threshold of the adjacent points. Finally, the building boundary is regularized based on the length weighted direction of the boundary. The results show that this method greatly improves the efficiency and accuracy of point cloud processing, and can automatically and incrementally obtain building boundary information directly from the initial data. At the same time, this method has a good effect on solving the problems of small building volume, close distance and large roof slope in small and medium-sized towns.
    Application of UAV in open-pit mine monitoring
    BAI Yang, KANG Huitao, ZHANG Wenchao, JIA Yuna, ZHENG Hao
    2020, 0(9):  85-88.  doi:10.13474/j.cnki.11-2246.2020.0289
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    In the process of open-pit mining, it is necessary to carry out real-time dynamic monitoring of the mine. It can not only grasp the real-time mining progress and the accuracy of mining scheme implementation, but also has a very important reference value for guiding the construction of digital mine. In this paper, taking an open-pit mining area in Laiyuan county, Baoding city, Hebei province as an example, Pix4Dmapper software is used to process the image taken by UAV, and obtain the orthophoto image, 3D point cloud and digital surface model of the mining area. At the same time, ArcGIS and Global Mapper software are used to analyze the production results of mine development and land occupation, so as to realize three-dimensional visualization of open-pit mine. It provides a powerful reference for grasping the implementation of mine environmental management and the overall situation of mine development.
    Capability assessment of DMSP-OLS and NPP-VIIRS nighttime light data estimating statistical indicators: a case of county-level GDP, population and energy consumption in Beijing-Tianjin-Hebei region
    LI Feng, ZHANG Xiaobo, LIAO Shunbao, QIAN An
    2020, 0(9):  89-93,118.  doi:10.13474/j.cnki.11-2246.2020.0290
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    Nighttime light data, which records the intensity of artificial light on the earth's surface, is one of the effective means to estimate social statistical indicators. To assess the simulation potential of DMSP-OLS, NPP-VIIRS nighttime light data for social statistical indicators, four common light correction methods are respectively used for saturation correction of two nighttime light data. Three linear regression models are respectively applied to construct between GDP, population, energy consumption data and the corrected nighttime light data from Beijing-Tianjin-Hebei. Then, the correlation coefficient of model fitting, statistical value of F and probability value of p are employed to analyze and evaluate the ability of two kinds of night light data in terms of measuring GDP, population and energy consumption. The results show that EANTLI method is the best correction method for two kinds of night light data, while HSI method is not suitable for fitting the linear relationship between nighttime light data and county-level social statistical index. The two kinds of night light data both have a good fitting effect on GDP. The fitting ability of social statistical indicators of NPP-VIIRS data is better than that of DMSP-OLS data.
    Research on remote sensing spatial differentiation and main control factors of land ecological quality: taking Guang'an city as an example
    CHEN Zhen, LI Shaoshuai, CHEN Jianping
    2020, 0(9):  94-99.  doi:10.13474/j.cnki.11-2246.2020.0291
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    In this paper, taking Guang'an city as the research area, based on remote sensing data sources, taking kilometers grid as the evaluation unit, and based on the ideal point model, the evaluation indicators are constructed from the 4 criteria layer 14 evaluation indicators of ecological background, ecological structure, ecological benefits and ecological threat. The system uses Delphi method (subjective method) and entropy weight method (objective method) to calculate the weight value of each evaluation index. Then the land ecological quality is graded according to the result of ideal point model calculation, and the main control land ecological quality is extracted. According to the hot factors of spot model, the relationship between the spatial differentiation rule of land ecological quality and the main control factor is analyzed, and the comprehensive evaluation of land ecological quality in Guang'an city in 2000, 2005, 2010, and 2015 is carried out. It Provides effective suggestions for land ecological quality supervision for the land remediation department finally.
    Retrieving GNSS-IR soil moisture based on deep belief network
    CHEN Kun, SHEN Fei, CAO Xinyun, ZHU Yifan
    2020, 0(9):  100-105.  doi:10.13474/j.cnki.11-2246.2020.0292
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    Retrieving soil moisture based on reflected signals acquired by geodetic GNSS receivers is a research hotspot in the field of GNSS. In order to overcome the shortcomings of conventional linear regression and BP neural network algorithms, this paper proposes a GNSS-IR soil moisture retrieval method based on deep belief network. The results show that the coefficient of determination, the average absolute error and the root mean square error of soil moisture based on this method are 0.909 8, 0.017 and 0.021. Compared with the linear regression and BP neural network algorithm, they are more consistent with the measured data, and can effectively improve the accuracy of soil moisture inversion, which proves the validity and reliability of the method.
    Mining the spatiotemporal evolution pattern of small earthquakes using space time cube
    HUANG Zechun, LIU Zipu, FAN Xinyi, HONG Andong
    2020, 0(9):  106-109.  doi:10.13474/j.cnki.11-2246.2020.0293
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    Mining and analyzing the spatiotemporal evolution patterns of the small earthquakes can provide auxiliary decision-making support for the analysis and prediction of earthquake disasters. In this paper, based on the seismic monitoring data in Sichuan area, the space time cube was used to fuse the characteristic data of space, time and attributes of earthquake points, and the spatial temporal hot spot statistical analysis methods were utilized to mine the distribution patterns of the spatiotemporal cold spots and hot spots of small earthquakes. The experimental results show that, in the time domain of the experimental data, the hot spots patterns of small earthquakes in Sichuan area are mainly consecutive hot spots, diminishing hot spots and oscillating hot spots, and the cold spots patterns are mainly consecutive cold spots, and the coverage of cold spots is wider than that of hot spots. The spatiotemporal evolution pattern mining method based on space time cube can play the advantage of spatiotemporal statistics, and it is an effective way to mine and analyze the temporal and spatial evolution trend of small earthquakes.
    Extraction of winter rapeseed from high-resolution remote sensing imagery via deep learning
    YANG Zeyu, ZHANG Hongyan, MING Jin, LENG Wei, LIU Haiqi, YOU Jiong
    2020, 0(9):  110-113.  doi:10.13474/j.cnki.11-2246.2020.0294
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    Recently, deep learning technology has been widely used in the crop extraction from high-resolution remote sensing data. This paper exploits the use of the spectral characteristics of rapeseed in the flowering period, and proposes a rapeseed extraction method from single-phase high-resolution remote sensing image based on deep learning theory. The paper employs GF-1 satellite data during the rapeseed flowering period, Shayang City, Hubei Province, as the research data. Firstly, rapeseed training samples are annotated on the image by manual labeling. Then, two deep learning framework models are built, including a one-dimensional convolutional neural network (1D-CNN) and a recurrent neural network (RNN), to conduct the rapeseed extraction with the help of annotated training samples. Finally, the rapeseed extraction results are evaluated by comparing with traditional support vector machine (SVM) and random forest (RF) methods. The experimental results show that the spatial distribution accuracy and area accuracy of winter rapeseed based on deep learning CNN and RNN models designed in this paper are better than the other two methods, which provides guidance for automation of large area winter rapeseed extraction.
    Quality inspection for GlobeLand30 update data and common problems analysis
    XIE Wenjun, CHEN Haipeng, GUO Jing, CHEN Yuheng, PENG Kaidi, LÜ Linbing
    2020, 0(9):  114-118.  doi:10.13474/j.cnki.11-2246.2020.0295
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    Considering the technical requirements of quality inspection for the construction and maintenance of global geographic information resources project, this paper proposed a set of fit-for-purpose methods for the quality inspection of the GlobeLand30 update data, and summarized the key points and methods of inspection. It also analysed the common errors found in the actual inspection practice from 2017 to 2018 meanwhile the solutions for these errors were suggested. It provides a certain technical reference for the quality control and quality improvement of GlobeLand30 update data in the the construction and maintenance of global geographic information resources project.
    Application of tilt photogrammetry in investigation of mine geological environment
    ZHAO Yunchang
    2020, 0(9):  119-122.  doi:10.13474/j.cnki.11-2246.2020.0296
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    We explore the key techniques of oblique aerial photography in this paper, and take the lead in introducing oblique aerial photography technology into the field of mine geological environment investigation. We acquire multi-angle aerial images of the target area through oblique aerial photography equipment, and produce DOM and high-precision DEM based on stereopair, and use the results of the image control points and the POS data of the aerial photography system to produce a high-precision real three-dimensional terrain model. We carry out secondary development based on the Skyline platform, and the establishment of the database and the mine geological environment management system is complete combine with data of historical remote sensing monitoring of mines and the hidden geological hazard, which mainly includes the functions of query, modification, statistics, and analysis of mine points and hidden danger points of geological disasters in the real three-dimensional environment. The results show that the use of oblique aerial photography technology to produce traditional 4D products and real 3D models has the characteristics of short cycle and diversified information, which greatly reduces the labor intensity of field inspection and can better meet the needs of geological environment monitoring and management in mines.
    Research on lightweight processing technology for tilt photogrammetry data
    WANG Wenkai, HUANG Kunxue, LI Meng, WANG Yeming
    2020, 0(9):  123-126.  doi:10.13474/j.cnki.11-2246.2020.0297
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    With the maturity of UAV technology, tilt photogrammetric data can effectively support real-world 3D display, geographic information data mining, et al, which has been widely used in tourism real-world geographic information digitization. In this paper, aiming at the problem of slow display of large data volume tilt photogrammetry data, the data lightweight processing technology is explored and verified. Taking the oblique photogrammetric data of Pingyao ancient city scenic spot in Shanxi Province obtained by flight as the source data, the source data are processed and analyzed by various technologies, and the efficiency of the data source before and after optimization is verified by Cesium platform. The optimized oblique photogrammetric data can greatly improve the browsing efficiency, among which pyramid level optimization technology can browse the oblique photogrammetric data. The speed of browsing increased the most, accounting for about 50%.
    Research on the extraction of full-section elements in the renovation project of old residential areas by 3D laser scanning technology
    LONG Runze, LU Mingjun
    2020, 0(9):  127-131.  doi:10.13474/j.cnki.11-2246.2020.0298
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    In the process of old residential area reconstruction, it is necessary to extract the information data of external structural surface and internal structural surface of residential buildings. Aiming at the problems of traditional surveying and mapping methods such as heavy workload, high cost and long period, this paper takes an old residential area reconstruction project of a customs building in Honghe prefecture of Yunnan province as an example, based on the point cloud data obtained by three-dimensional laser scanning technology, scans the building's external facade, internal structure of stairs and roof. Based on Leica Cyclone software, we carry out experimental research on point cloud data registration, filtering and denoising, and data hierarchical management. After integrating point cloud data, it has drawn the facade, section and plan of the old building with CAD software, and checked and evaluated the measurement accuracy and accuracy of the scanning results with traditional measurement methods such as total station and distance meter. The average accuracy of the two-dimensional mapping can reach to 1.54 cm. The research results show that 3D laser scanning technology can obtain 3D point cloud data of field data, completely record all data forms of the field with high-density, high-precision, high-quality point cloud data, and has a complete solution for data acquisition and mapping of the subsequent old community reconstruction project.
    Application of PSP-InSAR technology in deformation monitoring along the subway
    JIN Yan, YU Zhiqiang, GAO Xiaoxiong
    2020, 0(9):  132-135.  doi:10.13474/j.cnki.11-2246.2020.0299
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    Based on 56 COSMO-SkyMed images, this paper uses PSP-InSAR technology to monitor the land subsidence within 500 m area of Hangzhou Metro Line 2, and makes statistics on the location, area and quantity of the deformation zone. On this basis, the accumulative shape variable points with deformation gradient greater than 0.1 mm/m are extracted and compared. Results show that: ① Surface deformation and deformation gradient are basically the same in space, but there are some differences. Therefore, analyzing the deformation along the subway line from a single point of view will increase the probability of missed and wrong detection. ② PSP-InSAR technology can fully show the distribution characteristics of the settlement on the metro line in space. It is significant for the settlement monitoring during the completion and operation of the subway. It provides basis for the operation and maintenance of the subway.
    Analysis of the influence of meteorological factors on the wall expansion of Ming dynasty's rampart in Nanjing
    ZHANG Bingliang, SUN Hao, SONG Qihai
    2020, 0(9):  136-139.  doi:10.13474/j.cnki.11-2246.2020.0300
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    Deformation of buildings has a serious impact on the safety of the buildings, causing uneven settlement, cracking and wall flaking. Expansion is an important factor causing cracking of buildings and spalling of walls, and the damage to buildings can not be neglected, and its controllability is greater than other deformation. Based on the real-time monitoring data and meteorological data, this paper studies the variation law of the wall expansion and the influence of meteorological factors on it. The results show that the meteorological factors have a certain impact on the expansion of Ming dynasty's rampart in Nanjing, indicating that rainfall and temperature have a significant impact on the wall expansion of the Ming dynasty's rampart, and the effect of humidity on the expansion of the wall of the Ming dynasty's rampart is not obvious. Studying the influence of meteorological factors on the wall expansion of the Ming dynasty's rampart has certain reference value for the management and protection of the Ming dynasty's rampart.
    Kernel density hot spot detection and spatial autocorrelation analysis of accessible facility spatial layout: a case study of outdoor public space in central of Beijing
    QIN Fei, CHEN Pinxiang, YANG Bogang, YU Yongxin, LIU Bowen, GONG Yun
    2020, 0(9):  140-142,147.  doi:10.13474/j.cnki.11-2246.2020.0301
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    Urban accessibility facilities usually present the characteristics of aggregation distribution in regional space. Generally, the kernel density estimation method is used to analyze the overall spatial distribution pattern, study the number difference of regional spatial distribution, and detect the distribution hot spots. At the same time, by analyzing the spatial autocorrelation characteristics of accessibility facilities, the aggregation characteristics of barrier free facilities services are reflected. By introducing spatial analysis method into the assessment of accessibility environment, the development space of accessibility environment can be optimized. The results show that the overall distribution of accessibility facilities in the core area of Beijing appears a trend of “multi-core distribution”. The overall distribution of barrier free facilities has spatial differences, and the party of accessibility facilities spatial distribution has aggregation characteristics.
    Innovative research on evaluation standard system of skilled talents on surveying and mapping geographic information industry
    WANG Qi, ZENG Chenxi, DONG Mali
    2020, 0(9):  143-147.  doi:10.13474/j.cnki.11-2246.2020.0302
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    According to the vocational qualification of skilled talents in the mapping geographic information industry in the National Vocational Qualification Lists, the research on the evaluation standard system of skilled talents on the mapping geographic information has been carried out. The evaluation and management methods of vocational abilities are explored, and the scientific and reasonable top-level design of skilled talents evaluation and vocational education and training are conducted. Based on the objective, reasonable and advance principles, the evaluation standard system of the vocational skills and its rank standard framework are established. This thesis complies with the reform ideas of the evaluation system of the vocational skill levels and the practical need of the qualification work of the industrial vocational skills. It can not only promote the evaluation mechanism reform of skilled talents, but also provide reference for the level evaluation of skilled talents in other natural resource industry.
    The complexity of education and the simplicity of teaching: on the teaching of “surveying” for non-surveying and mapping majors
    ZHAO Hongrui
    2020, 0(9):  148-150,158.  doi:10.13474/j.cnki.11-2246.2020.0303
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    With the rapid development of new technology, the interdisciplinary and integration of disciplines has been promoted. Surveying and mapping have entered the era of geomatics. The corresponding content has changed from traditional data production-based surveying and mapping to full field and full range holographic geographic information service. The teaching of surveying and mapping for the education of non-surveying majors, is facing unprecedented opportunities and challenges. As an interdisciplinary science and technology, surveying and mapping can be regarded as an important node in the complex system network of higher education. It has unique advantages in improving network efficiency consequently. From the perspective of connecting ontology of complex system, the surveying and mapping education for non-surveying and mapping majors has an important impact on the education reform of related disciplines, with both theoretical and practical significance. The practical significance lies in interdisciplinary, integration and innovation. Based on the teaching practice of surveying in Tsinghua University, this paper also discusses the principle of simplicity in the teaching practice, and introduces the related teaching reform methods and effects.
    The education reform of geomatics engineering in the era of artificial intelligence
    YUE Jianping, CONG Kanglin
    2020, 0(9):  151-154.  doi:10.13474/j.cnki.11-2246.2020.0304
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    The development of artificial intelligence technology has set off the third wave. The arrival of the era of artificial intelligence will certainly promote the reform of geomatics engineering education. Starting from the development process of artificial intelligence technology, the application status and development trend of artificial intelligence in the geomatics industry is elaborated, the impact of artificial intelligence on the education industry is analyzed, and the application prospect of the combination of artificial intelligence and higher education is discussed. Base on the current situation of higher education in geomatics engineering, the educational reform system of geomatics specialty in the era of artificial intelligence is constructed from the four aspects of cultivating ideas, knowledge structure, teaching methods, and innovation ability, which provides a theoretical reference and experience for exploring the deep integration of geomatics engineering higher education and artificial intelligence in China.
    Application and precision analysis of arbitrary station method based on line orientation in engineering survey
    XUE Huiyan, WANG Zhi
    2020, 0(9):  155-158.  doi:10.13474/j.cnki.11-2246.2020.0305
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    Line orientation station is a method to set up the coordinate system and calculate the space coordinate and azimuth angle of the station by measuring two characteristic points separately after the station seted up by the total station. Take the first point as the origin of coordinates and the second point as the direction of X-axis or Y-axis, set up the coordinate system and calculate the space coordinate and azimuth angle of the station. The vertical distance from the space characteristic point to a lead hammer surface can be easily measured by this method. Taking Leica TS60 total station as an example, this paper introduces the operation flow and the method of line orientation station, and analyzes the precision and influencing factors of station setting. Taking the deformation measurement of two parallel rails of a single beam overhead crane in a factory building as an example, the application of this method in industrial survey is introduced.
    Study on the quality characteristics of the surface coverage classification data
    SHANG Jianwei
    2020, 0(9):  159-161.  doi:10.13474/j.cnki.11-2246.2020.0306
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    After China has completed the database of general survey of geographical conditions, the focus of work has changed from general survey to monitoring. No matter in general survey or monitoring, it is always the key and difficulty to classify the surface cover accurately. In the stage of normalization monitoring, it is very important for production organization and quality control to master the main quality indicators of surface coverage classification results, summarize their change rate, change area distribution, types of changes and analyze the main factors affecting the quality.
    Application of multi-source heterogeneous point cloud fusion technology in ancient building information preservation
    YIN Hongxia, YANG Jianhong
    2020, 0(9):  162-164.  doi:10.13474/j.cnki.11-2246.2020.0307
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    Multi-source heterogeneous point cloud fusion technology is proposed in this paper, aiming at solvingthe problem that it is difficult to obtain the complete spatial information of the ancient building. This method first uses the whole-to-local scanning strategy to realize the 3D point cloud data collection. The low-altitude aerial photogrammetry technology is used to complete the scan of the blind zone image data collection. Data production has realized multi-source heterogeneous point cloud data fusion. Experiment shows that this method can well meet the needs of retaining digital information of ancient buildings, and has a good promotion and reference value in the field of ancient building protection.