Table of Content

25 October 2019, Volume 0 Issue 10

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Study on accuracy assessment of DEM in the marsh wetland using multi-frequency InSAR

FU Bolin, GENG Renfang, LI Ying, GAO Ertao, FAN Donglin

2019, 0(10):  1-7.  doi:10.13474/j.cnki.11-2246.2019.0308

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In this paper, the interferometric SAR data of three wavelengths are selected to extract the DEM of the marsh wetland area, and 111 points of data are randomly selected from the 1:10 000 topographic map for accuracy verification. Finally, the interference coherence difference of the swamp wetland vegetation for different SAR wavelengths is compared and analyzed. The results show that the ALOS-1 PALSAR images (L-band, HH) are in good agreement with the 1:10 000 topographic map data, and the difference of elevation value of 76.58% is within 3 meters, and its coherence coefficient is also higher than that of Sentinel-1A images (C-band, VV, IW model) and TerraSAR images (X-band, HH). So, it's more suitable to extract DEM of swamp wetland by radar interferometry. The coherence coefficient of different wetland vegetation types is also quite different. The distribution area of forest and shrub-grass vegetation has a larger coherence coefficient, while the shallow-water marsh vegetation area and deep-water marsh vegetation area are relatively low.

Remote sensing survey on the distribution of cage-fenced culture in the top 10 reservoirs of Hunan province based on GF-2 data

HE Qiuhua, ZOU Juan, YU Shuchen, LI Changan, YU Deqing

2019, 0(10):  8-11,159.  doi:10.13474/j.cnki.11-2246.2019.0309

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The cage-fenced culture of reservoirs, especially drinking water source reservoirs, has a great impact on the water environment. High-resolution remote sensing is rich in spatial information and texture information, which can effectively extract the distribution information of cage culture. In this paper, the high-resolution satellite remote sensing image is used as the data source, and the human-computer interaction visual interpretation method is used to extract the cage-fenced culture information of inland waters such as the top ten reservoirs in Hunan province. The spatial distribution of cage culture is studied and estimated. The annual nitrogen and phosphorus emissions from cage culture provide a strong technical support for the supervision of the fisheries industry sector.

Study on vegetation cover change of Maolan in Guizhou based on time-varying consistency of NDVI

CHEN Xuanchi, TIAN Pengju, CHEN Rong, WU Yufeng, WANG Yueyue

2019, 0(10):  12-16,113.  doi:10.13474/j.cnki.11-2246.2019.0310

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Aiming at the effects of cloud cover on image quality, put forward and use a method based on time-varying consistency of NDVI, The Landsat TM/ETM+/OLI data of Guizhou Maolan nature reserve in recent 18 years are used to build a relatively complete vegetation index time series in the study area, small regional scale for the long time series of vegetation cover change research, and adopts univariate linear regression model and correlation analysis to explore the vegetation coverage change trend in the study area and its response to meteorological factors relationship.The conclusion is that the time-varying consistency of NDVI processing method can effectively eliminate the influence of cloud cover.Recently 18 a vegetation cover in the study area is in good condition and is on a slow rising trend. There is a significant positive correlation between climate factors and vegetation cover change, in which the influence of average temperature is the strongest in that month, while the influence of precipitation and average relative humidity is lagging behind.

Comparison of applicability of remote sensing estimation model for grassland vegetation coverage

DONG Xiancong, LI Xiaojie

2019, 0(10):  17-22.  doi:10.13474/j.cnki.11-2246.2019.0311

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Vegetation coverage and its changes have a direct impact on the stability of regional ecosystem, and this kind of effect is more obvious in grassland areas. In order to explore the best remote sensing estimation method of grassland vegetation coverage, this paper compares the estimation accuracy and applicability of binary pixel model, Carlson model and Baret model, and finally optimizes the parameters of Baret model to improve its estimation accuracy in grassland areas. The results of grassland calculation in Hulun Buir region of Inner Mongolia show that pixel dichotomy model overestimates the vegetation coverage, while Carlson model underestimates the vegetation coverage in low vegetation-covered areas and overestimates it in high vegetation-covered areas. And Baret model has the highest estimation accuracy in grassland areas. After parameter optimization of Baret model, the estimation accuracy in high vegetation-covered areas is improved by 4.9%.

Research on the current situation and problems of natural resources monitoring and natural resources assets monitoring in China

YE Yuanzhi, ZHANG Chaomang, DENG Yi, ZHANG Yu, WANG Jianbang, ZHANG Jian

2019, 0(10):  23-29.  doi:10.13474/j.cnki.11-2246.2019.0312

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Natural resources monitoring and natural resources assets monitoring are the basic work to archive the unified management and confirmation of rights of natural resources. This paper mainly introduces the methods and means of natural resources monitoring research and practice in China, from the perspectives of administrative monitoring, space monitoring, aviation monitoring, surface monitoring, underground mineral monitoring, water resources monitoring, marine monitoring and so on,by researching the concept and connotation of natural resources and natural resources assets monitoring. Finally, some suggestions are put forward to solve the main problems such as scientifically defining the connotation and classification of natural resources and monitoring catalogues, the integration and construction of national natural resources monitoring network, and the construction of space-time framework for natural resources monitoring.

Boundary treatment of Eco-redline of Qin River headwater region based on land cover and land use data

NING Ting, DU Shixun, RONG Yuejing, WANG Wei, LI Chao

2019, 0(10):  30-34.  doi:10.13474/j.cnki.11-2246.2019.0313

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Boundary treatment is to change ecological protection redline (eco-redline) from ecological assessment result of a grid form to specific land with a clear boundary by means of GIS software, which also can be called "mapping". It is not only an important process in the eco-redline delineation but also a condition for precise boundary settlement and effective control of the eco-redline. Taking Qin River headwater region as an example, this paper uses land cover classification data and land use classification data to treat eco-redline boundary of the assessed ecologically important areas respectively. It was showed that either kind of data is suitable for this work, and the mapping result is better when the two types of data were used together. The grid area of the study area with extremely important eco-function is 877.87 km², and the area of corresponding eco-redlines after boundary treatment based on two data is 877.73 km², accounting for 64.51% of the total area of the study area. The study results can be referred in the optimization and adjustment of eco-redline boundary in areas where ecological function are important.

Vibration deformation measurement and modal analysis for large bridge span using ground-based interferometric radar IBIS-S

WANG Peng, XING Cheng, XIANG Xia

2019, 0(10):  35-39.  doi:10.13474/j.cnki.11-2246.2019.0314

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Ground-based radar interferometry was proposed into vibration deformation measuring and modal analysis of bridge span structure in large-scale bridge which could obtain instantaneous deformation state of the whole linear structure with high sampling frequency. Ground-based interferometric radar IBIS-S was used to monitor structure deformation in the east bank of Wuhan Erqi Yangtze River Bridge under static and dynamic loading. The natural frequency, damping ratio and mode shape were separately calculated using frequency domain decomposition method. Results show that IBIS-S can detect bending modes of large bridges, especially for emergency testing of structure health status after being affected by disasters.

Remote sensing image segmentation method based on dual-tree complex wavelet texture feature and MRF model

WEI Chuntao, ZHAO Ping, XIAO Bolin, BAI Feng, LI Xiaoyong, YANG Wanyun

2019, 0(10):  40-45.  doi:10.13474/j.cnki.11-2246.2019.0315

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For the classic wavelet textures, the image texture features cannot be accurately expressed. The image segmentation results lack the consideration of the spatial correlation and distribution relationship of the pixels. In this paper, we proposes a combination of dual-tree complex wavelet (DT-CWT) texture and Markov random field (MRF) model for high resolution remote sensing image segmentation method. Firstly, the image texture feature is extracted by dual-tree complex wavelet transform, and the mixed feature vector of the expression image is formed by combining the texture feature and the spectral feature. Then, Gaussian normalization of the mixed feature vectors in the feature space is performed. The K-means clustering method is used to perform the feature vectors in the feature space. The initial segmentation map is obtained by clustering. Finally, using the Markov random field model to introduce context information to represent the initial segmentation results, the initial segmentation results are optimized based on the Bayesian maximum a posteriori probability criterion, and the final segmentation results are obtained. This paper improves the accuracy of feature expression by using dual-tree complex wavelet textures. At the same time, the Markov random field model is used to weaken the "pepper and salt noise" in the homogenous region of the segmentation results, further improving the segmentation accuracy of the high resolution remote sensing image.

Application of 3D modeling of UAV tilt photography in urban rain flood risk assessment

LIU Bin, TANG Yaling, MA Chenyan, BAI Shaoyun

2019, 0(10):  46-50,66.  doi:10.13474/j.cnki.11-2246.2019.0316

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The study of urban rain flood risk issues is of great significance to improve the accuracy of urban flood disaster monitoring and forecasting, and to promote the decision-making process of urban flood control. Because the high-precision urban 3D models can provide rich geographical information, it is convenient for accurate analysis of flooding. With the aim to solve the problem that the current urban flood model is highly sensitive to terrain data and the accuracy of flood risk assessment research is limited by the accuracy of terrain data, this paper innovatively proposes to use UAV tilt photography technology to reconstruct high-precision real-world three-dimensional model. Combined with the spatial analysis function of GIS and the key index of submergence depth, we carry out flood risk assessment in the study area. By extracting the inundation depth information of the research area under different reproduction periods and performing visual rendering to realize the three-dimensional flooding analysis, the flooding situation of the research area can be visualized for the risk management of the urban rain flood, which also provides valuable reference for the urban planning.

Research on small building extraction method in small dataset

YANG Xubo, TIAN Jinwen

2019, 0(10):  51-55.  doi:10.13474/j.cnki.11-2246.2019.0317

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The remote sensing satellite images are generally large, while the area containing small buildings is relatively small. If sliding cropping is used to augment data, most of the cropped patches have no targets, and a large dataset containing a large number of small buildings is time-consuming and labor intensive to construct. It is very difficult for conventional methods to extract small buildings on high-resolution satellite imagery and of great theoretical significance and application value to study the small building extraction method suitable for small-scale datasets. In this paper, a new lightweight and fully connected network ZF-FCN is proposed. ZF-FCN uses a small receptive field to obtain more local information, uses less max pooling operations to avoid violent down-sampling, and uses Lovász-Softmax loss to solve sample imbalance problem and better optimizes the IoU metric. A dataset consisted of a small number of images containing mainly small buildings is established in this paper, and the experiment is carried out on the augmented dataset with different cropping sizes, which finally proves that ZF-FCN outperforms both FCN and U-Net.

A massive sample data acquisition method for intelligent classification of remote sensing images

CHENG Tao, WU Yun, ZHENG Xinyan, YANG Gang, BAI Ju

2019, 0(10):  56-60.  doi:10.13474/j.cnki.11-2246.2019.0318

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Based on the data sources of high-resolution remote sensing images and high-precision land cover classification products collected in the Geographic National Conditions Monitoring Project of China, a nationwide massive sample data acquisition method is proposed for intelligent classification of remote sensing images by using location matching technology. According to the characteristics analysis of data sources, the key technologies such as quantitative weight setting for each county, coordinate's projection conversion, raster grid's gray resampling, invalid sample data's filtering, land cover's classification code conversion, sample data's file identification, and specific types of land cover's sample data acquisition are researched. And a sample data pair formed by remote sensing image and classification label data is constructed. Besides, sample data automatic acquisition software is independent developed. By using this whole approach, the national scale massive sample data has been achieved, which is gathered by each unit of county level administrative division. The results of 5 different counties are selected to evaluate the practicability and operational performance of the method. The results show that this method can improve the calculation response speed of massive sample data produced once in whole country, and the collected sample data can meet the demand of high quality and large-scale sample sources for intelligent classification of remote sensing images, and improves the accuracy of classification and prediction of remote sensing images.

A case study on pixel-by-pixel radiometric normalization between Sentinel-2A and Landsat 8 OLI

XU Yuwen, ZHANG Hao, CHEN Zhengchao, JING Haitao

2019, 0(10):  61-66.  doi:10.13474/j.cnki.11-2246.2019.0319

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Taking the spectral response of different remote sensors and the spectral differences of ground objects into account, this paper presents a pixel-by-pixel radiometric normalization method. The data with similar bands visible-near infrared (VNIR) of Sentinel-2A and Landsat 8 OLI are taken as an example, which are acquired over quasi-simultaneously in Gudarinor Lake area of Inner Mongolia province, on July 17, 2017. Firstly, the surface reflectance is derived from Sentinel-2A and Landsat 8 OLI images by the Sen2cor method and the NASA officially atmospheric correction algorithm respectively, and resampled to the same spatial resolution. Then, the matching factor is calculated based on the spectral library and the transformation model between the image and the spectral library is constructed to covert the surface reflectance from the Sentinel-2A image into the Landsat 8 image pixel-by-pixel. The results show that compared with the original image and the HLS spectral normalized image, the correlation of VNIR band between the pixel-by-pixel normalized image and the Landsat 8 VNIR is significantly improved and the radiation consistency is enhanced. This transformation model provides a new idea for high precision radiation normalization of multi-source medium-to-high resolution remote sensing images.

Remote sensing change detection using image correlation analysis

CHENG Mengzhen, HUI Wenhua, LI Yanjin, WEI Jiawang

2019, 0(10):  67-71.  doi:10.13474/j.cnki.11-2246.2019.0320

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Aiming at the problem that image correlation analysis using single spectral features is poor in remote sensing change detection applications, a correlation coefficient calculation model combining texture features and spectral features is proposed. Firstly, the multi-temporal image is segmented by the same scale, and the correlation coefficients in each corresponding segmentation window are calculated. Then the coordinates of the center point of the window and the correlation coefficient value are taken as a feature point, and the spatial distribution of the correlation coefficient of the whole region is obtained by interpolation in the three-dimensional space. Finally, the change information is extracted by density slicing. The paper carries out the change information extraction experiment with two GF-1 image data. The results show that the change detection result of the combined feature correlation coefficient is obviously better than the single spectral correlation coefficient change detection result. The application research of combined correlation coefficient provides a new idea for remote sensing change information extraction using correlation analysis method.

Traffic flow assignment based on improved ant colony algorithm

CHEN Nengcheng, YAO Shuang, DU Wenying, WANG Chao

2019, 0(10):  72-76,82.  doi:10.13474/j.cnki.11-2246.2019.0321

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Urban transportation capacity declines after disasters, and the distribution of original traffic flow is no longer applicable. To ensure normal economic and social activities, a traffic flow allocation method based on improved ant colony algorithm is proposed. Firstly, the influence factors of road network capacity are evaluated for the construction of road quality evaluation system. The road quality is used for improving the heuristic factor in an ant colony algorithm. Secondly, random nodes are added and the updating mechanism of pheromones are improved to expand the search range of ant colony. Finally, the improved algorithm is applied to allocate the total urban traffic in batches and obtain the traffic distribution maps. The results show that the improved algorithm comprehensively considers travel distance and road quality. It is more in line with the traffic flow distribution requirements than before, and the improved algorithm has a better path optimization. It provides suggestions and support for post-disaster relief work and traffic assignment decision of post-disaster road network.

Application of multi-source data fusion technology in the 3D reconstruction of old architectures

XU Guangyu, DU Ning, WANG Li, PEI Shuyu, LI Fengxu, LUO Ji

2019, 0(10):  77-82.  doi:10.13474/j.cnki.11-2246.2019.0322

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To solve the problems of low automation and incomplete models when modeling single point cloud data, a 3D reconstruction method based on multi-source data fusion technology is proposed in this paper. The basic idea is the combination of ground laser point cloud and pace-surface images. On the basis of processing the multi-source data, coordinate system, data fusion registration, target feature extraction and recognition, model reconstruction is realized. The experimental results show that using ground laser point cloud and space-surface images fusion modeling can get more accurate, complete and beautiful 3D model.

Study on Nantong coastlines based on Canny operator

JIANG Kedi, YIN Yong, FAN Kaigui, ZHANG Ling

2019, 0(10):  83-88.  doi:10.13474/j.cnki.11-2246.2019.0323

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Based on RS, GIS, Matlab and other platforms, the extraction of shoreline from remote sensing images is an important technical method to realize dynamic monitoring and analysis of various types of coastal dynamic geomorphological evolution. In this study, the coastal zone of Nantong, Jiangsu province is selected as the research area. Based on RS platform, the images of MSS, TM and OLI after multi-stage preprocessing are processed by convolution filtering and image segmentation. Then, using Canny operator to detect the image edge and extract the instantaneous water line of these multi-stage images. At the same time, the instantaneous water boundary is extracted combining with different types of coastal visual interpretation signs and tidal data correction over the past five years in Lvsi Port. Based on GIS platform, this study finally extracts four times coastlines and analyses the erosion and deposit evolution of them in recent 45 years in Nantong.

Correlation analysis between water vapor content and dust-haze concentration in Beijing area based on GNSS

DUAN Hongzhi, LI Sen, ZHANG Fenglu, LI Gang

2019, 0(10):  89-92.  doi:10.13474/j.cnki.11-2246.2019.0324

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This paper introduces the principle of using GNSS observation data to retrieve atmospheric precipitable water,and analyzes the correlation between PWV, ZHD and dust-haze concentration PM_2.5 in spring, summer, autumn and winter in Beijing.It has found that the correlation between PWV, ZHD and dust-haze concentration PM_2.5 in different seasons in Beijing shows great difference, and the correlation is the strongest in winter, followed by spring and autumn, and the weakest in summer.Through experimental analysis, this paper proposes that the PWV, ZHD and other meteorological data obtained by GNSS can be used for monitoring and early warning of dust-haze disastrous weather to some extent.

Research on the control point layout scheme for consumption-grade UAV oblique photogrammetry in small areas and modeling accuracy

SANG Wengang, LI Na, HAN Feng, ZHAO Peihua, LI Yubin

2019, 0(10):  93-96.  doi:10.13474/j.cnki.11-2246.2019.0325

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The control point layout scheme is an important part in the surveying stage of the unmanned aerial vehicle(UAV) oblique photogrammetry, which directly determines the accuracy of the later 3D real scene model. In this paper, aiming at campus and other small-area environments, and using the consumption-grade single-lens multi-rotor UAV aerial photography system to obtain the image data, different control point layout schemes are designed. Aerotriangulation and building 3D model based on automatic data processing system, accuracy analysis of model results is carried out. The suggestion and guidance are given for the layout of the control point in small areas for the actual work.

Comparison of vegetation classification performances on Putuoshan island using Sentinel-2A MSI and Landsat 8 OLI images

ZHANG Xiaojie, DENG Yanfen, ZHANG Yachao, JIANG Yunyun, QIU Jufei

2019, 0(10):  97-100.  doi:10.13474/j.cnki.11-2246.2019.0326

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Satellite remote sensing technique can be used to investigate resources of sea-islands. Both Sentinel-2A and Landsat 8 satellites freely provide multi-spectral remote sensing images with relatively high spatial resolution which means high potential of sea-island investigation. Taking Putuoshan island, Zhoushan, Zhejiang as example, vegetation classifications on sea-island using images of these two satellites are compared. Based on maximum likelihood classification method, classes of broad-leaved forest, coniferous and broad-leaved mixed forest, coniferous forest, shrub, grassland and other land uses are extracted respectively using Sentinel-2A MSI and Landsat 8 OLI images. And accuracy validation results show that the overall classification accuracy of MSI is a little higher than that of OLI.

Micro landform classification method of grid DEM based on BP neural network

ZHOU Fangbin, ZOU Lianhua, ZHANG Xiaojiong, MENG Fanyi

2019, 0(10):  101-104,132.  doi:10.13474/j.cnki.11-2246.2019.0327

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Micro landform classification of grid DEM is the foundation of digital landform refinement application. The micro landform classification method of grid DEM based on regular knowledge has problems such as low degree of automation and incomplete classification. With the advantages of BP neural network, an artificial intelligence method and implementation approach for micro landform classification of grid DEM are constructed. The experimental results show that the BP neural network method of micro landform classification of grid DEM has the advantages over the existing method of overlay analysis by landform factors. The BP neural network method of micro landform classification of grid DEM not only avoids the complicated data overlay analysis process, but also effectively improves the completeness and misclassification. Among the six kinds of micro landform classified from the hill-position, the alluvium has the strongest adaptability to this method, with accuracy of 100% and the weakest accuracy of 89.23% for the back-slope.

Building change detection by multi-feature fusion from high resolution remote sensing images

LI Junsheng, DANG Jianwu, WANG Yangping

2019, 0(10):  105-108,118.  doi:10.13474/j.cnki.11-2246.2019.0328

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In order to make full of spectral, spatial and texture feature, a method of change detection based on fuzzy set theory and DS evidence theory is proposed. In the first step of the proposed approach,image segmentation is used to get image objects.The spectral, texture and morphological building index features of each object are extracted. Change vector analysis is adopted to calculate the difference of the corresponding features between two periods. Then, Sigmoid function is applied as membership function to get the objects membership belonging to the changing and non-changing classes respectively and to construct the basic probability assignment function(BPAF) of evidence theory.At last, evidence theory is used to fuse multi-feature information and the changed image region of building is determined via certain rules. The experimental results show that the method can fully integrate spectral, texture and morphological building index(MBI) features and improve the accuracy of building change detection.

Track geometry feature matching method for train positioning

FANG Bole, CHEN Qijin, NIU Xiaoji

2019, 0(10):  109-113.  doi:10.13474/j.cnki.11-2246.2019.0329

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Geometric features such as track irregularity and gauge deviation are information that directly reflects track quality. They are all functions of track mileage and contain abundant and low-cost position information, which are consistent in repeated observations.In this paper, the feasibility of the train positioning method based on track geometry feature matching is evaluated, and the background database stored in the computer is established. By collecting the data to be matched and matching it with the background database, the train position which meets the accuracy requirement is obtained.This method provides a new positioning information and idea for multi-sensor fusion train control system and can be used as an auxiliary means to improve the robustness of train positioning system.

Error correction of TOPS Sentinel-1 interferograms

XU Hang, CHEN Fulong, TANG Panpan, ZHANG Da

2019, 0(10):  114-118.  doi:10.13474/j.cnki.11-2246.2019.0330

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Because of the high quality and the open source policy of the Sentinel-1 SAR data, InSAR studies using Sentinel-1 is essential for technology promotion and application. However, the characteristics of TOPS acquiring mode bring in challenges for the interferogram generation of Sentinel-1 data. This paper implements quantitative analyses of three main issues that causing poor quality of Sentinel-1 interferogram of TOPS mode, including image coregistration, ionosphere phase correction and troposphere phase correction. After that, an effective solution based on ESD algorithm, GPS data and ECMWF data is proposed to solve the aforementioned problems. A pair of Sentinel-1 TOPS mode images acquired in 2016 are chosen as the study data. It turns out that the derived interferogram achieves the requirement of 1/1000 coregistration precision, in conjunction with the corrected linear trend and burst phase-jump from ionosphere difference. The phase error due to the troposphere difference reduces approximately 27% in standard deviation after the tropospheric phase correction. The proposed solution significantly enhances the quality of Sentinel-1 TOPS mode interferogram that is feasible in motion estimation using DInSAR and time series DInSAR approaches.

Super-resolution reconstruction based on SIFT matching and RANSAC algorithm

ZHANG Sheng, ZHU Wei

2019, 0(10):  119-122.  doi:10.13474/j.cnki.11-2246.2019.0331

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Image super-resolution reconstruction technology is a technique for reconstructing high-resolution images based on information complementation between sequence images. The main steps are accurate motion estimation algorithm and effective super-resolution reconstruction algorithm. For the sequence images with rotation and scaling transformation, this paper proposes a motion estimation algorithm based on SIFT matching and RANSAC algorithm. Firstly, the SIFT algorithm is used to extract and match the feature points of the image sequence. Finally, the random matching consistency algorithm (RANSAC) is used to eliminate the mismatched points and obtain the projection transformation matrix, so as to obtain the sub-pixel motion information between the image sequences. In this paper, a set of low-resolution sequence images are used for experiments. Based on the above motion estimation algorithm, iterative back projection is used for super-resolution reconstruction. The experimental results show that the motion estimation accuracy is high, and the reconstructed image has better visual effects, especially for the super-resolution reconstruction of the image sequence with rotational scaling motion between image sequences.

Monitoring and risk assessment of land subsidence along Nanjing subway

FAN Xueting, LI Mingju, PAN Jiubao, WANG Shengyao

2019, 0(10):  123-126,141.  doi:10.13474/j.cnki.11-2246.2019.0332

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The land subsidence of Nanjing main urban area is obtained based on MCTSB-InSAR (multiple master-image coherent target small-baseline interferometric SAR), and the spatial distribution characteristics of land subsidence in the study area are analyzed. By the process of strip spatial buffer analysis and profile line, the uneven subsidence information of the land and surrounding buildings along metro lines are derived. Then, the geological disaster risk assessment is applied on the main impacted road sections. The results of evaluation and time series subsidence of feature point are basically consistent with the actual situation at the same time. The result shows that which is important to long-term monitor the land subsidence of main urban areas and metro lines. It can provide reliable support for disaster prevention and impact evaluation with geological disaster risk assessment and has great application potential.

Application of ship-borne integrated measurement system in water and above

LIU Qiang, ZHAI Guojun, LU Xiushan

2019, 0(10):  127-132.  doi:10.13474/j.cnki.11-2246.2019.0132

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As a new technique, the integrated measurement in the water and above has been used in ship-borne integrated measurement system in recent years. The integrated measurement above and below water can be realized by the combination of multi-beam echo sounder(MBES), laser scanner and position and orientation systems for marine vessels etc. For the actual island (reef) mapping, the difficulty of landing on the island, the poor working conditions on the island, the heavy mapping tasks, and the difficulty coefficient, this paper introduces a shipborne multi-sensor integrated measurement technology. Through ship-borne integrated measurement system in water and above implements the offshore integration measurement cases of island reefs, water structures, port areas, etc. We clarify the advantages and disadvantages of the system in the application, and develop ideas for the further application of ship-borne integrated measurement system in water and above.

3D GIS application on Winter Olympics planning: a case study of Yanqing zone of 2022 Winter Olympics

Lü Yang, ZHOU Qing, HOU Qingming, LI Bing

2019, 0(10):  133-137.  doi:10.13474/j.cnki.11-2246.2019.0334

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The snow projects of Winter Olympic Games will be held in areas with complex terrains, high mountains and dense forests. In order to minimize environmental impacts, reduce cut and fill, and to control investment, the design work relies on fine and accurate data. This paper takes the Yanqing Zone of 2022 Beijing Winter Olympics as an example, using UAV remote sensing and LiDAR technology to obtain data. Then, high-resolution digital orthophotos and high-precision digital elevation models are produced to construct 3D scenes, with design model imported. The results of this paper provide practical technical support for the information sharing among the Winter Olympic Organizing Committee, owners and relevant government departments. This paper shows the potential of the application of 3D geographic information technology in large-scale projects in mountainous areas, and can be referenced for the design of mountain ice and snow projects.

Construction quality evaluation system of graduation project based on the whole process

HE Liheng, YANG Qiang, BAO Qisheng

2019, 0(10):  138-141.  doi:10.13474/j.cnki.11-2246.2019.0335

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The paper analyzes the quality evaluation methods of graduation design. Then, the paper concludes the main problems of quality evaluation, which were the single assessment mode, not objective evaluation of achievement and weak supervision and inspection. The paper structures the whole process quality evaluation system of participation of teachers and students in evaluation based on the process examination, variegated achievements and quality inspection institutionalization of graduation project. The results provide a reference for comprehensive and objective evaluation of graduation design quality.

Research on the teaching reform model of applied courses in the independent college based on the flipping classroom

CHEN Lanlan, XIAO Haiping

2019, 0(10):  142-145.  doi:10.13474/j.cnki.11-2246.2019.0336

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For the independent college located in the south of Jiangxi province, the lack of teachers, insufficient hardware and software facilities, delaying in sharing resource and other problems in teaching, have seriously restricted the personnel training and professional development of school. However, with the continuous extension and development of the MOOC teaching, it provides a new teaching direction for the teaching reform, personnel training and construction of teacher's team in college. To further improve the quality of personnel training in our school and cultivate the applied professional and technical personnel required for social development, the author has analyzed and pointed out some teaching problems of the students and teachers in the independent colleges from three aspects of students, teachers and schools, designed the teaching reform plan based on the MOOC platform, put forward the research methods and content of teaching reform, and provided new ideas and methods for the personnel training and teaching reform in independent colleges or application-oriented institutes based on his teaching experiences.

Research and exploration of open surveying and mapping training teaching in the background of informationization

HE Kuan, HUANG Sa, XU Lin

2019, 0(10):  146-149.  doi:10.13474/j.cnki.11-2246.2019.0337

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Experimental teaching is an indispensable part of cultivating students to become high-quality talents. In view of the problems of teacher-led, low-study interest, and unsatisfactory experimental teaching in the current surveying experiment teaching process, we actively explore the establishment of an open experimental teaching concept centered on the cultivation of students' ability. In the process of open surveying experiment teaching, based on CBE concept we optimize the hierarchical open experimental content system, implement the open experimental teaching mode and teaching diagnosis based on the teaching resource platform, experimental management platform and big data analysis. It has been proved by practice that open experimental teaching in the context of "Internet+education" is conducive to taking into account the comprehensive and individual development of students, and is conducive to improve the overall quality of students.

Application of Leica RTC360 3D laser scanner in completion survey

WANG Xiaohui, WU Xiaopei

2019, 0(10):  150-154,159.  doi:10.13474/j.cnki.11-2246.2019.0338

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Leica RTC360 is not only simple to operate, fast to scan, but also very intelligent. It can track and calculate the relative position between two continuous sites in real time, and pre-splice the point cloud in real time. Intelligent stitching software Register 360 is used in the later stage, and point cloud is processed intelligently without manual intervention. It is simple and efficient.

A kind of fine-hierarchy-considered indoor topology models

HUANG Hong, ZHAO Zhipeng, ZHANG Lei

2019, 0(10):  155-159.  doi:10.13474/j.cnki.11-2246.2019.0339

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To meet the demand of refined management, a kind of fine-hierarchy-considered indoor topology models is proposed. First of all, the model classifies indoor components into three categories "main object-connecting object-virtual object". Based on main object, the model classifies indoor space into four levels of "building-floor-room-equipment" and abstract virtual object in order to re-divide object. Secondly, the model builds topological rules between main objects. Finally, the experiment of data management and isualization is conducted on the basis of Cesium.js. The result shows the mode is effective in terms of fine scene management.

Application of Trimble SX10 image scanner in surveying and mapping engineering

HUANG Gang, DU Xiaobing, YANG Qin

2019, 0(10):  160-162.  doi:10.13474/j.cnki.11-2246.2019.0340

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With the continuous urban development and the continuous improvement of science and technology, the existing social background has put forward new requirements for the development of surveying and mapping engineering. Trimble SX10 image scanner redefines the capability of daily measuring equipment by providing the world's most innovative solutions for mapping, engineering and scanning professionals. This paper briefly introduces the core technology of Trimble SX10 image scanner, and combines its application cases in slope deformation monitoring and management project and waterway navigation safety management project. The application of Trimble SX10 image scanner in surveying and mapping project and its advantages compared with traditional surveying and mapping methods are elaborated.