Table of Content

25 July 2020, Volume 0 Issue 7

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Preliminary study on global 4D data product development

TIAN Haibo, CHEN Lijun, ZHANG Hongwei, DU Xiao

2020, 0(7):  1-4,21.  doi:10.13474/j.cnki.11-2246.2020.0203

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Based on the high-resolution remote sensing stereo mapping satellite of China as the main data source, the multi-scale and multi-type global geographic information products under a unified framework are developed by using high-precision satellite images without ground control geometric positioning technology and intelligent acquisition and compilation technology. It will play an important role in global governance and sustainable development, and provide scientific and technological support for the building of "the Belt and Road", national economic and social development, global strategy implementation and the building of a smart society.

Priority area analysis of global geographic information data construction

LIN Shangwei, ZHANG Hongwei, DU Xiao, CHEN Lijun, PENG Shu, OUYANG Sida, ZHANG Junhui, ZHENG Yi, ZHOU Qi

2020, 0(7):  5-9.  doi:10.13474/j.cnki.11-2246.2020.0204

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Based on the global grid data of 1:250 000 surface coverage categories, this paper analyzes the factors such as the difficulty of satellite image acquisition, terrain category, cloud coverage, landscape fragmentation, and so on, by determining the weight of each limiting factor by AHP method, calculating the score by multi factor composite index method, dividing the priority areas by natural discontinuity point method, and finally the priority areas of five types of surveying and mapping geographic information data products (DOM, DSM, DEM, DLG, LC) are divided into three levels according to the order from easy to difficult. The research and analysis can provide reference for the task division, budget quota and project implementation of national mapping geographic information related projects.

Precision analysis of combined block adjustment without GCP for ZY-3 and TH-1 satellite images

ZHENG Yi, ZHANG Hongwei, DU Xiao, ZHANG Junhui, ZHOU Qi, LIN Shangwei, CHEN Lijun

2020, 0(7):  10-12,28.  doi:10.13474/j.cnki.11-2246.2020.0205

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In recent years, more and more types of domestic satellite sensors are available. There is a growing demand for production and research using autonomous and controllable domestic satellite images. The accuracy analysis of combined adjustment of multi-source domestic satellite images is important particularly. This paper introduces the situation of combined mapping production by using ZY-3 and TH-1 in the special difficult conditions,such as outdated situation, high noise, cloud coverage area and photographic gap. And the feasibility and accuracy of combined block adjustment without control with GCP for ZY-3 and TH-1 are verified.

Accuracy analysis of topographic interferometry based on multi-source spaceborne SAR

CHEN Lijun, ZHANG Rui, GUO Xudong, HONG Kairui, TU Jinsheng

2020, 0(7):  13-17.  doi:10.13474/j.cnki.11-2246.2020.0206

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Spaceborne InSAR technology has been one of the hotspots in topographic surveying and mapping. Its advantages lie in that it can obtain global DEM data and other value-added products quickly and accurately. For providing a technical reference to the global mapping task, the multi-source spaceborne SAR image data are applied in implementing terrain interferometry experiment and accuracy analysis. The results indicated that the main SAR image data, including COSMO-SkyMed, GF-3 and ALOS-2 corresponding to the existing spaceborne X/C/L-bands SAR systems, could obtain high-quality DEM data products in the typical study area of Qinghai province. The accuracy and detail quality of DEM obtained by COSMO-SkyMed interferometry are higher relatively, followed by the GF-3 result, and the ALOS-2 result also has enough precision. The related results demonstrated from the side that, national GF-3 spaceborne SAR system has enough potential power in topographic interferometry, but the suitable spatial baseline is needed.

Design and experiment of heat map rules based on road network constraints

DU Xiao, ZHOU Yuxiu, ZHOU Qi, ZHENG Yi, ZHANG Junhui, LIN Shangwei, CHEN Lijun

2020, 0(7):  18-21.  doi:10.13474/j.cnki.11-2246.2020.0207

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Heat map is an intuitive and accurate presentation tool for spatial observation, which is wildly used in many fields. Based on analyzing and setting the various layer weights and technical grades of road, the methods of inverse distance weight, histogram equalization, density compensation and repetitive parameter iteration are used comprehensively. And this paper constructs the rule architecture of heat map to demonstrate the distribution state and development level of roads in certain region. The heat map rule architecture describes the rules of road weighting, line-to-surface modification, dot density adjustment and liner fitting, and so on, which can extract and demonstrate road development level accurately. Based on road data in some some Asian and African countries of global geographic information construction projection, information abstraction and heat map distribution test have been done to verify the feasibility and reliability of the rules.

3D modeling method of high-resolution optical satellite imagery for global key regions: taking Dubai city as an example

ZHANG Junhui, AI Haibin, WANG Qingdong, HAN Xiaoxia

2020, 0(7):  22-28.  doi:10.13474/j.cnki.11-2246.2020.0208

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Aiming at the difficulty of refined 3D modeling data acquisition and product production technology in typical overseas regions, this paper designs a high-resolution optical satellite image refined 3D modeling method. In this method, the central area of Dubai is selected as the experimental area. High-resolution satellite image data such as WorldView-3 and GeoEye-1 are selected as the main data source, and multi-source image downloading from internet is used as the auxiliary data.The method uses accurate orientated refined RPC parametersand the precise geometric information (DEM/DOM) to complete 3D model production of the main buildings in the area, and forms a high-resolution satellite image 3D modeling prototype system, which meets the needs of the accuracy and fineness requirements of quickly produce 3D digital models production in global geographic information resource construction projects.

Application of parallel processing technology in quality control of mass geographic information data

ZHOU Qi, DU Xiao, ZHANG Junhui, ZHENG Yi, LIN Shangwei, WAN Yongtao

2020, 0(7):  29-33.  doi:10.13474/j.cnki.11-2246.2020.0209

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Aiming at the characteristics of huge data volume, rich types and abundant inspection contents, based on MapReduce framework, this paper applies the distributed parallel computing technology and multi-thread technology to the quality control system to build the parallel quality control framework of multi-source and multi-temporal mass data. The algorithm structure of one operation per cycle is transformed into the parallel algorithm of multiple operations per cycle to solve fundamentally the problem of multiple operations and slow calculation. Then we select core vector elements, DOM results and DEM results as the experimental data. The results show that the built quality control technology based on parallel processing increases the efficiency by 2~3 times, effectively compresses the task execution time, saves the cost, realizes the rapid quality check and ensures the timely quality control of the geographic information resources.

Construction of multi-level address semantic model and its application in epidemic prevention and control

YIN Xiangjun, CHEN Zhen, ZHANG Junlei, CUI Lixin, ZHAO Wei, HUANG Huayue

2020, 0(7):  34-37,44.  doi:10.13474/j.cnki.11-2246.2020.0210

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As far as now, a large amount of the address data have been collected by the city governments. However, these data are managed and constructed by different departments in the city. Moreover, the construction of the address data are not from the source of geographical entity. Therefore, these issues result in the failure of intensive construction and unified sharing of these data. In this study, we try to set up a multi-level address semantic model and address repository based on application-oriented refinement management requirement, which links the repository to the geographic entities. The constructed address semantic model and repository generate a unique geographic base from the address to the building entity at the building or unit levels. It can also provide the comprehensive support on wisdom city construction, operation and management. It also has been widely applied in COVID-19 epidemic prevention and control.

Impact analysis of surveying and mapping geographic information in pandemic prevention and control for COVID-19

GUI Dezhu, CHEN Changsong, ZHOU Xia, ZHANG Yue, XU Kun

2020, 0(7):  38-44.  doi:10.13474/j.cnki.11-2246.2020.0211

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This paper analyzes the influence of eight pandemic geographic information applications in China and the United States through the big data and digital public opinion system of China Unicom. It has formed three understandings:①Surveying and mapping geographic information plays an important role in pandemic prevention and control. ②Compared with the pandemic map of Johns Hopkins University, pandemic map websites and apps of China are still the main channels to obtain the geographic information of the pandemic. ③The application of pandemic geographic information provided by enterprises has a wider impact and deeper adhibition than that provided by government departments.

The spatio-temporal distribution and evolution analysis of COVID-19 in Wenzhou city

YU Zheng, HUANG Jiapo, CHEN Yuanfang, CHEN Bingrong, XU Gang, WANG Jing, LONG Cheng

2020, 0(7):  45-49,87.  doi:10.13474/j.cnki.11-2246.2020.0212

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First combining with social media information and the situation of COVID-19 in Wenzhou city, the paper obtain prior knowledge of propagation regularities of epidemic. Based on this, we use DBSCAN adaptive clustering algorithm to analyze the spatio-temporal distribution patterns and evolution regulation of COVID-19 in Wenzhou city. The results show that:①The COVID-19 in Wenzhou city is easy to spread among young and middle-aged people aged 20 to 59, as well as between commercial service personnel, farmers and workers; ②A series of measures against human mobility can effectively prevent the COVID-19 spreading further, so that the number of spatial clusters of COVID-19 in Wenzhou city increase first and then decrease; ③We find that there is a high risk of COVID-19 spread near the Yintai business district which is in Lucheng District, southern of Yueqing city and western of Ruian city. Therefore, we suggest to strengthen the prevention and control of these areas in the later period. This paper analyzes spatio-temporal distribution patterns and evolution regulation of COVID-19 in Wenzhou city in a fine-grained manner, which can better assist Wenzhou government departments to make prevention and control measures for COVID-19.

Application of mobile GIS in the prevention and control of infectious disease: taking COVID-19 as an example

HU Pan, HE Yi, LIU Tao, HUANG Tiejun, HE Chao

2020, 0(7):  50-52.  doi:10.13474/j.cnki.11-2246.2020.0213

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The emergence and outbreak of novel coronavirus pneumonia (COVID19) have posed great challenges to our society,economy,and public health,which has already become a serious public health and socialproblem. As a new infectious disease, early detection and timely effective measures are important to control the spread of the virus. Geographic information systems (GIS) plays an important role in the distribution, control, prevention and early warning of infectious diseases. As the development of GIS technology, mobile GIS has further improved the scientific decision-making and on-the-spot disposal ability of infectious disease prevention and control in China. This paper focuses on the application of mobile GIS in the prevention and control of infectious disease.

Application of improved UAV image processing technology in the construction of COVID-19

LI Zihao, TANG Chao, GUO Wenyuan

2020, 0(7):  53-57.  doi:10.13474/j.cnki.11-2246.2020.0214

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During the epidemic period, it needs accurate field information and high-resolution orthophoto image as the basis for decision-making, but managers can not obtain information through intensive field inspection. The UAV field data acquisition speed is fast, the acquisition precision is high, the data quantity is all and so on superiority, but the traditional UAV orthophoto image processing speed cannot satisfy the project urgent need, therefore this article has made the omni-directional research from the UAV field field fast acquisition-the fast internal processing technology-the target achievement recognition, based on the improvement SURF UAV image fast processing algorithm, the method has the advantage of being fast. According to the advantages of fast and the key elements such as regular rectangle, prominent feature points and obvious contrast between light and shade in the image of the major engineering equipment, the orthophoto image can be quickly processed and fast can be used on this basis R-CNN network identifies on-site mechanical equipment to provide decision-making basis for the resumption of work. The corresponding results have been applied in the resumption of work of Xiong'an high-speed railway station during the period of COVID-19 epidemic.

Application of automatic registration method of remote sensing image in ecological environment restoration of coastal mines

XIANG Qianhe, DU Juan, CHEN Chunlei, WANG Jianguang

2020, 0(7):  58-63.  doi:10.13474/j.cnki.11-2246.2020.0215

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From the perspective of remote sensing image interpretation, this paper analyzes the role of remote sensing image interpretation in ecological restoration investigation of coastal mines, summarizes the basic methods of remote sensing interpretation of ecological restoration of coastal mines. Aiming at the problems of optical remote sensing image registration, a registration method based on shape feature of object region is proposed. A segmentation method is used to extract the structural small regions in the reference image and the image to be registered. According to the attributes of the small area and geometric shape features to match, using spatial relationships as control constraints, querying the correct small area of the same name, the center point of small region is extracted as matching control point pairs, and the parameters of affine transformation model are calculated, which effectively solves the problem of automatic registration between images. The experimental results show that the method has good experimental results and practical value, and can be used to ensure the determination of mine space location and design for the ecological restoration investigation of coastal mines.

Spatial-temporal contrast analysis of MODIS aerosol products in Heihe River basin

SONG Xiaochun, LIU Xingke, SUN Weijie

2020, 0(7):  64-69.  doi:10.13474/j.cnki.11-2246.2020.0216

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Satellite remote sensing monitoring and aerosol foundation observation networks provide a data basis for aerosol research. Satellite remote sensing monitoring commonly used Terra and Aqua satellites are equipped with MODIS sensors to obtain satellite imagery data inversion of aerosol optical thickness AOD. MODIS data inversion of the aerosol optical thickness products currently experienced C002, C003, C004, C005, C006 and other versions. In order to compare and analyze the MODIS aerosol products in the Heihe River basin, this paper first validates the accuracy of the aerosol optical thickness product of the C006 version in the Heihe River basin, and then analyzes the spatial-temporal characteristics of aerosol optical thickness in the study area. The accuracy of the MODIS aerosol optical thickness product is verified by the observation data of the HIHATER aerosol optical thickness. The results show that MODIS aerosol products have higher accuracy and higher reliability than those with high applicability. The aerosol optical thickness of the aerosol in the study area is higher than that in the morning, and the optical thickness of the aerosol in the middle and lower reaches is higher than that in the upstream region. The aerosol thickness of summer is higher than that of aerosol in other seasons. The high value of aerosol optical field in spring is concentrated in the downstream area. The high value area of summer is distributed in the upstream area, and the distribution of high value area in autumn is relatively uniform. In winter, the high values are mainly distributed in the western region.

Analysis of urban spatial structure based on spatial coupling between POI and nighttime data: a case study of main urban region in Wuhan

CHEN Bin, XU Shangzhao, ZHOU Yangyang, XU Fengliang, WANG Hongzhi

2020, 0(7):  70-75.  doi:10.13474/j.cnki.11-2246.2020.0217

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Urban points of interest (POI) and luminous remote sensing images can visually reflect the spatial distribution characteristics of urban social and economic entities, and play an important role in the study of urban spatial structure. Firstly, this paper selects the typical city representative of the middle reaches of the Yangtze River-Wuhan as the research area, selects the 2016 POI and NPP/VIIRS luminous remote sensing data of the study area as the basic research data, and uses the GIS analysis tool to carry out the spatial nuclear density analysis of the POI data. Then the POI nuclear density analysis results and NPP/VIIRS luminous remote sensing data are spatially meshed. Finally, the two-factor mapping and grid overlay analysis methods are used to explore the spatial coupling relationship between the two data, and further analysis is carried out the spatial structure of the city. The research shows that the spatial coupling of the POI data and the luminous remote sensing data in Wuhan is better overall, and the spatial coupling is consistent with the proportion of 82.15%. However, there are some differences in the spatial coupling between the two in the Yangtze River, such as the Qiaokou district. The remote sensing data and POI data of Hanyang district are mainly based on the low-medium spatial coupling mode, while the Qingshan district, Wuchang district and Hankou district are dominated by the medium-low spatial coupling mode. As one of the core cities of the central plains urban agglomeration, Wuhan's internal spatial structure is closely related to the development of the Yangtze River economic belt. Through the spatial coupling relationship between POI and luminous remote sensing data, the spatial structure characteristics of Wuhan spatial entity elements can be learn more deeply. This study can provide a new perspective for the study of the internal spatial structure of cities along the Yangtze River.

Crop acreage monitoring based on UAV image

REN Zexi, DING Lixia, LIU Lijuan, XIE Jinying, AO Yiying, ZHANG Jiyan, HE Jiaying

2020, 0(7):  76-81.  doi:10.13474/j.cnki.11-2246.2020.0218

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The cultivated land in the southern plain is fragmented, varieties of crops planted and the spatial distribution is mixed, so it is difficult to accurately monitor the area of crops by using traditional remote sensing technology. Drones aerial photography has advantages providing a beneficial way to solve this problem which is flexible for shooting time, high spatial resolution and low cost, et al. In this paper, drones aerial photography data is used to monitor the ground sample plots in Pingyao town, Yuhang district, Hangzhou city, to obtain the the location and variety data of the crops. The object-oriented multi-scale segmentation method and the random forest classification method are used to segment and classify the aerial data of the drone, and the high-resolution remote sensing data information is used to extract the crop varieties and their spatial information to achieve high-precision crops area, to promotthe deeply application of UAV remote sensing in agriculture.

Extraction of water body information in coal mine area based on ASTER data

YE Jie, WANG Zhanwei, FENG Naiqi, LIU Bing, ZHANG Bin, GU Fangying, BAI Weiming, WANG Haixia

2020, 0(7):  82-87.  doi:10.13474/j.cnki.11-2246.2020.0219

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In order to realize multi-spectral data extraction of water body information in coal mining area, the Luxinling and surrounding coal mines in Pingxiang city are used as experimental areas. Under the inspiration of scholars at home and abroad on the use of water body index method to extract water information and application, the spectral characteristics of different objects in the experimental area are analyzed. Firstly, a mathematical normalization method is used to establish a synthesize water index model SWI ASTER_xy on ASTER data. Then, the model is used to extract water information from the experimental area. Experiments show that the model can effectively extract the mining area. Water-like body, and the model can also be used in the extraction of different features in different regions by ASTER data (or other multi-spectral data). It has good effect and potential in remote sensing quantitative extraction, and has certain popularization value.

Spatial-temporal characteristics of land subsidence in Tianjin city based on leveling data

CHANG Ming, YIN Haiquan, SU Guangli, TIAN Xiao, XU Yujian

2020, 0(7):  88-92.  doi:10.13474/j.cnki.11-2246.2020.0220

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Uneven land subsidence may endanger urban development and people's safety. The land subsidence in Tianjin city is particularly serious.Aiming at this problem, this paper collects the leveling observation data of Tianjin city from 2005 to 2012 and from 2016 to 2017. The Kalman filter model is constructed based on the state vector of the settlement amount, settlement rate, and settlement acceleration rate at a fixed level to filter the level observation data in Tianjin city over the years. According to the results of filtering, this paper uses the method of polynomial weighted interpolation to determine the weights by the information of distance, settlement rate and settlement acceleration rate, and to interpolate the land subsidence. The accuracy of various interpolation methods is compared by using the root mean square error as the precision evaluation parameter. Based on the experimental analysis of the interpolation results, the cumulative average ground settlement in Tianjin city from 2005 to 2017 is 394.477 5 mm, and the maximum settlement is 1 143.5 mm. The main settlement areas are Beichen, Dagang, Tanggu and other areas.And with the increase of time, these areas present funnel-like subsidence. Experiments prove that this method combined with Kalman filter and polynomial weighted interpolation can better reflect the spatial and temporal distribution of land subsidence, and predict the settlement in the future, which has a certain reference significance for the urban development and construction of Tianjin.

Multi-filtering and joint denoising of bridge deformation data monitored by GNSS-RTK

XIONG Chunbao, WANG Meng, YU Lina

2020, 0(7):  93-96,142.  doi:10.13474/j.cnki.11-2246.2020.0221

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Aiming at the influence of multi-path effect and random noise in bridge GNSS-RTK deformation monitoring, a multi-filter combined denoising method based on Chebyshev filter and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and wavelet threshold (WT) denoising technology is proposed. Chebyshev filter is used to suppress the multipath effect, then CEEMDAN decomposition is carried out, based on autocorrelation analysis, the noise IMF component is denoised by WT to remove random noise. As an experiment, the deformation of Haihe bridge in Tianjin city is monitored by GNSS-RTK, and the monitoring data are processed by multi-filter noise reduction. The results showe that:the multi-filter noise reduction method proposed in this paper can effectively suppress the multi-path effect and random noise, the combination of GNSS-RTK and multi-filter noise reduction can accurately identify the real dynamic displacement of the bridge, it provides a better way for noise reduction of bridge GNSS-RTK monitoring data.

Designing association model for multi-source geospatial vector data

GUO Li, JIANG Jingli, LI Hao, WANG Yunge

2020, 0(7):  97-102.  doi:10.13474/j.cnki.11-2246.2020.0222

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Implicit relevance is existed between multi-source geospatial vector data. However, the association relation often exists hidden, which is difficult to visualize directly as well as interactive presentation with spatial data, let alone query and analysis to obtain the required information. In view of this situation, multi-source geospatial vector data and statistical data is taken as research object. Firstly, the concept and classification of multi-source geospatial vector data association are defined. And then based on this, the multi-source geospatial vector data association model is designed, which can be divided into 3 sub-models:spatial association sub-model based on adaptive quadtree coding, spatial association sub-model based on geometric matching and spatial association sub-model based on semantic matching. The proposal of this model defines the association method between multi-source geospatial vector data, and lays theoretical foundation for the construction of association relations.

Analysis of urban construction land expansion pattern and scale system in Chengdu-Chongqing urban agglomeration

ZHANG Yaping, ZHANG Ping, SUN Danfeng, LIU Shunxi, LUN Fei

2020, 0(7):  103-107.  doi:10.13474/j.cnki.11-2246.2020.0223

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Based on the urban construction land information extracted from six periods of remote sensing images of from 1990 to 2018, this paper aims to unveil the temporal law and characteristics of urban agglomeration urban construction land expansion from the aspects of expansion intensity, hot spots, modes and urban agglomeration scale system. The results show that the growth rate of the expansion of urban construction land in Chengdu-Chongqing urban agglomeration is rapid first and then becoming slow with time. The high expansion density of urban construction land in Chengdu-Chongqing urban agglomeration is mainly concentrated in Chengdu and Chongqing, and the continuous development of urban agglomeration is not obvious. The new urban land in urban agglomeration presents a disorderly trend of sprawl and does not tend to be compact. The urban system of Chengdu-Chongqing urban agglomeration shows obvious dual-core characteristic, and the development of small and medium-sized cities is insufficient, but the scale distribution gradually changes from non-equilibrium to equilibrium over time.

Application of UAV tilt photogrammetry technology in real estate data updating and mapping

YANG Yabin, XIE Simei, XIE Rongan

2020, 0(7):  108-111.  doi:10.13474/j.cnki.11-2246.2020.0224

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With the increasing requirements of real estate registration and management, there are higher requirements for the current, accuracy and timeliness of real estate data. With a long period and large input of manpower and material resources, obtaining real estate data through detail surveying and indoor mapping by using total station and RTK is difficult to meet the needs of modern management. Surveying and mapping 1:500 topographic map through UAV tilt photogrammetry technology can not only meet the requirements of real estate surveying and mapping data accuracy, but also solve the real estate registration well with its characteristics of fast, convenient, flexible and rich achievements. The tests show that the application of key technology is relatively mature and has obvious benefit. It has good popularization and application value.

Building contour optimization method based on multitemporal high-resolution images

CHANG Jingxin, GAO Xianjun, YANG Yuanwei, WANG Shuangxi

2020, 0(7):  112-115.  doi:10.13474/j.cnki.11-2246.2020.0225

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In view of the problems of misclassification and omission in building extraction from high-resolution images, the common rectangular contour optimization of single image is not accurate enough due to poor projection, trees and shadow shading, Therefore, an optimization method of multi-temporal building contour is proposed. Firstly, the two high-resolution images are preprocessed by matching, and the initial results of buildings are extracted by shadow classification verification. Then, the minimum area circumscribed rectangles of each building contour in the two images are obtained, and the corresponding corners of the minimum area circumscribed rectangles of the same building are matched. Finally, by comparing the number of building pixels on the corresponding edge of the corresponding minimum area circumscribed rectangle of the two phases of image, the edge with more pixels is selected as the appropriate edge for translation to obtain the optimal edge. After the four edges are the optimal edges, the final contour that conforms to the original shape of the building is obtained by orthogonal lines. Experimental results show that the proposed method improves the accuracy and completeness compared with the traditional results and other contour optimization methods.

Application of UAV tilt photogrammetry in 3D model mapping

YUAN Mingchao, QIU Jun

2020, 0(7):  116-119,142.  doi:10.13474/j.cnki.11-2246.2020.0226

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Considering the high labor cost, heavy work intensity and low efficiency of the traditional measurement procedures, this paper presents a naked-eye 3D mapping method based on UAV tilt photogrammetry. The ContextCapture is used to model the 3D scene, based on which the topographic map is drawn by using PSG software in a naked-eye 3D environment. A real-world case study in Ouyanghai town, Guiyang county, Hunan province is used to demonstrate the effectiveness of the proposed method. A 1:500 large-scale cadastral mapping is carried out and the accuracy is verified. The errors in horizontal and elevation are 0.046 m and 0.048 m, respectively, which are less than 0.05 m required by the code. Therefore, the proposed method in this study can produce results which satisfy the accuracy requirements of 1:500 scale cadastral mapping and improve the efficiency.

Deformation monitoring of ancient towers based on 3D laser scanning technology

WANG Li, ZHOU Jiawei, WANG Hongsen, JIANG Dapeng

2020, 0(7):  120-124,129.  doi:10.13474/j.cnki.11-2246.2020.0227

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In order to explore the traditional deformation monitoring method, it is difficult to satisfy all deformation characteristics of ancient towers. This paper takes Yanchangta of Tongchuan city as the research object, uses 3D laser scanning technology to obtain the data of the tower's point cloud, and uses Geomagic software to model. Matlab software is used to fit the tilt variation of the tower. The results show that:from 2015 to 2019, there are different degrees of torsion in each layer of the Yanchang Temple Tower, and the overall offset of the ancient tower remains basically unchanged, and the trend of change is basically stable. 3D laser scanning technology has obtained the change trend of the ancient tower analyzed by multiple monitoring data. The method is feasible and the accuracy is high. The research results are intended to provide reference and technical support for the development of similar projects.

Large-area surface deformation monitoring using Sentinel-1 SAR data and SBAS technology

ZHANG Jinying, CUI Liang, LIU Zengmin, WANG Xintian, LIN Lin, XU Fengling

2020, 0(7):  125-129.  doi:10.13474/j.cnki.11-2246.2020.0228

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Radar Interferometry technology provides a new method for high-precision, rapid and accurate monitoring of ground subsidence. However, when the ground subsidence covers an area equal to tens of thousands of square kilometers, high measurement accuracy and large-range synchronous measurement is required. In order to solve this problem, Sentinel-1 data are used to analyze terrain deformation in the area of Yellow River delta, the CORS data is used for verification and temporal and spatial distribution of land subsidence is examined. The study demonstrates the applicability of this method to deformation monitoring in large area, and provides an important basis for subsidence prevention and control in the region.

A Web 3D annotation display technique in large scenes

ZHOU Yousheng, NI Huizhu, WANG Jiedong, KONG Hui

2020, 0(7):  130-133.  doi:10.13474/j.cnki.11-2246.2020.0229

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Lots of researches on Web 3D digital maps pay more attention to 3D model displaying and despise 3D annotation displaying, which can not provide map semantic information properly to consumers. A Web 3D annotation display technique in the large scenes is put forward to achieve tridimensional exhibition of large amounts annotations in 3D digital maps and provide explicit semantic guidance. 3D display experiment on Zhejiang new fundamental surveying and mapping products shows that, the technique can build 3D annotation LOD model conveniently and provide 3D annotation services and increase annotation efficiency. This technology can be applied to areas such as Tianditu, natural resources spatial basic information platform and real estate registration platform.

Image control point's storage and results management plan in Microsoft Office Access

XU Jiayuan, ZOU Wei

2020, 0(7):  134-137.  doi:10.13474/j.cnki.11-2246.2020.0230

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In the era of remote sensing geographic information, the traditional discrete, catalog-based data storage model has low data utilization efficiency, and the data format is not uniform, which no longer meets the growing information management needs. This article takes the results of image control points in the production of remote sensing images as an example, abandon the traditional document and paper-based storage solutions, store and manage the results of image control points in the form of a database, and link various elements of image control points.Discrete data is indexed, which has a great advantage over traditional results management methods in the use and reuse of data.

Construction and application of the railway BIM spatial information system based on 3D GIS

WANG Wei

2020, 0(7):  138-142.  doi:10.13474/j.cnki.11-2246.2020.0231

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The railway is a strip construction, which has the characteristics of wide range and close integration with geography. Traditional BIM software is weak in geospatial analysis, and it is difficult to support large-scale railway design, which can not solve the problem of railway project multi-professional integration in wide geographical environment. This paper discusses the usage of 3D geographic information systems as the platform to support a wide range of railway BIM applications in spatial data processing, analysis and model integration. By analyzing and researching the publishing of railway geographic information data, route design in geographical environment, seamless integration of multiple BIM models, and massive models light-weighting and displaying strategies, a complete BIM+GIS solution for railway design is proposed. On this basis, a 3D GIS-based BIM spatial information platform is constructed, which is applied and verified in the Xicheng high speed railway BIM pilot project.

Technology realization of comprehensive surveying and mapping and geographic information service for the 7th CISM Military World Games

XIAO Jianhua, GUO Mingwu, PENG Qingshan, LI Haiting

2020, 0(7):  143-146,164.  doi:10.13474/j.cnki.11-2246.2020.0232

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This paper introduces the contents and main technical routes of six aspects of the comprehensive support services of surveying and mapping geographic information for the successful holding of the 7th CISM Military World Games. These six services include:improving the function and quality of the city, planning and construction of the military games venue,organization scheme planning and evaluation for the opening and closing ceremony of the 7th CISM Military World Games, command and dispatching of the opening and closing ceremony of the 7th CISM Military World Games,serving the military sports competition and cultural propaganda and audience travel, etc.It focuses on the construction of organization and planning system and command and dispatching system for the opening and closing ceremony of the 7th CISM Military World Games. Then, the subsequent perfection plan of the main results is prospected. Finally, combined with these practical experiences, suggestions are made for the industry development of the surveying and mapping and geographic information. This article will provide useful reference for the geographic information service work of the similar large-scale events at home and abroad.

Exploring and practicing of effective teaching methods for quantitative remote sensing courses

SUN Hao, CUI Ximin, YUAN Debao, JIANG Jinbao, SUN Wenbin

2020, 0(7):  147-151.  doi:10.13474/j.cnki.11-2246.2020.0233

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Quantitative remote sensing is a significant and compulsory course for the major of remote sensing science and technology. Due to its extensive content, complex basic models, and various key algorithms, it is not only quite necessary but also challenging to select effective teaching methods for achieving teaching aims and demands successfully. In this paper, a knowledge conversion efficiency model (KCEM) is suggested for constructing effective teaching methods. The KCEM assumes that the amount of student's acquired knowledge per class hour is the product of the amount of teacher's output knowledge per class hour, the amount of student's received knowledge per class hour, and student's knowledge conversion efficiency. Only if each item reaches its optimal state, the final teaching effect attains the optimal level. The paper presents specific and classical teaching methods to optimize the above-mentioned single items. Subsequently, the KCEM model is practiced in teaching remotely sensed land surface temperature and fractional vegetation coverage (LST/FVC) space which is a knowledge point in quantitative remote sensing. This study is helpful to improve teaching quality and training level of remote sensing science and technology and also provides references to other courses.

Application of rotor UAV LiDAR in real estate propety investigation in rural area

JI Xufa

2020, 0(7):  152-155,158.  doi:10.13474/j.cnki.11-2246.2020.0234

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The development of rural areas is gaining increasing attention in China. Nowadays, the investigation of real estate rights in rural area has been actively carried out all over China, which requires high-pricision data. This paper puts forward the method of using airborne UAV LiDAR to question of low efficiency posed by traditional full-field mapping method. Through practical examples, this paper actually shows the effectiveness that it can improve the efficiency of mapping, as well as the precision for the final requirements comparing with the traditional method.

Application of Trimble TX8 3D laser scanner measurement in mountain area

GU Tianping

2020, 0(7):  156-158.  doi:10.13474/j.cnki.11-2246.2020.0235

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Based on the application of complex mountainous area measurement need, this article uses the Trimble TX8 3D laser scanner to do frame station scanning measurement, and adopts the method of adding stations under complicated environment in scanning and stitching of nearly 100 000 square meters of mountain terrain. It uses realworks post-processing software for 3D modeling analysis, draws a clear, intuitive, accurate modeling 3D graphics, generates a series of area calculation statements, and provides the instance for 3D laser scanner in topographic surveying and mapping the area measurement applications.

Application of video-free UAV aerial photography system in large-scale topographic map measurement

MA Haizheng, QIANG Dexia

2020, 0(7):  159-161.  doi:10.13474/j.cnki.11-2246.2020.0236

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Using Topcon Sirius Sirius Pro image-free drone aerial photography system as the carrier, from the survey area route design, image data collection, product output and other technologies, combining with examples, the system's measurement accuracy and application in large-scale topographic maps are analyzed. The system breaks through the traditional low-altitude photogrammetry mode, without the need for field three measurements, and the field data can be automatically processed with one-click. Its application greatly shortens the production cycle and reduces production costs. It also proves that the system can meet the accuracy requirements of large-scale topographic map surveying and mapping.

Application of GPS elevation fitting in highway section measurement

DING Yingying

2020, 0(7):  162-164.  doi:10.13474/j.cnki.11-2246.2020.0237

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In view of the low efficiency of leveling section in the highway with large undulation, this paper uses the method of RTK and partition plane fitting to solve the problem of elevation anomaly transformation in the belt terrain. Based on the CORS, it is enabled to acquire the accuracy of 3 cm of plane error for determining the center line of road and collecting the GPS coordinate of road cross-section. In order to solve the problem of height anomaly, we use stepwise selection method to select the best location of control point and partition plane fitting method for changing GPS elevation into normal elevation, and the accuracy of elevation transformation is less than 5 cm.