Table of Content

25 April 2021, Volume 0 Issue 4

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Spatiotemporal evolution of ecosystem service functions based on multi-source remote sensing data

SUN Hao, HU Jiaqi, CUI Yajing, YANG Nan, CAI Chuangchuang

2021, 0(4):  1-7.  doi:10.13474/j.cnki.11-2246.2021.0101

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Investigating the spatiotemporal evolution of ecosystem service function is conducive to reveal the impact of human activities or climate change on eco-environment, which could also provide a basis for the conservation and management of ecosystem. In this study, remote sensing methods for evaluating ecosystem service function are improved to depict temporal variation. They are subsequently employed to evaluate the functions of headwater conservation, water and soil conservation, and biodiversity maintenance annually from 2000 to 2018 over Huai'an, China. Mann-Kendall non-parametric test and Hurst trend analysis methods are used for spatiotemporal evaluation. The spatiotemporal evaluation is further explored by combining with the interpretations of higher resolution remote sensing data. Results demonstrate that:① The ecosystem service functions of most regions in Huai'an show a significant trend of increasing, among which the increasing trend of headwater conservation and biodiversity maintenance is weak while that of water and soil conservation is strong. ② The increasing trend mainly occurs in cultivated land, woodland, and other vegetated areas. In contrast, the decreasing trend mainly occurs in non-ecological areas such as building land. ③ The area proportion of cultivated land, forestland, and other vegetated areas in Huai'an is basically unchanged, and even slightly decreased with the increase of building land. The significant increase of ecosystem service function in this area may be chiefly due to the enhancement of vegetation vitality, which is represented in the increase of vegetation greenness and vegetation productivity.

An improved method of combining multi-indicator desertification classification

WANG Shuxiang, HAN Liusheng, YANG Ji, LI Yong, ZHAO Qian, LIU Yangxiaoyue, WU Hao

2021, 0(4):  8-12.  doi:10.13474/j.cnki.11-2246.2021.0102

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The classification of land desertification is an important part of desertification monitoring, and it is also the basis for comprehensive management and scientific protection of land desertification. Aiming at the problem of abnormal extraction of land desertification in arid areas, this paper selects the arid/semi-arid Horqin area as the experimental area. The medium-and high-resolution Landsat remote sensing images of 2005, 2010 and 2015 are used as the data sources. Based on a large number of statistical analysis of samples, a desertification extraction model that integrates vegetation coverage(FVC), modified soil adjusted vegetation index(MSAVI) and the enhanced vegetation index(EVI) is put foward, which is compared with the extraction results of traditional vegetation coverage indicators. The research results show that compared with the single vegetation index retrieval method, the algorithm proposed in this paper has higher classification accuracy, especially for arid/semi-arid areas, the method of fusion vegetation index has better applicability and robustness. This method provides new ideas for the establishment of the desertification evaluation system, and provides auxiliary decision support for the protection and management of land desertification.

Analysis and prediction of landslide susceptibility in Jinsha River

SU Meichen, WEI Xiaoyan, ZHOU Junsong, WANG Yiqin

2021, 0(4):  13-16.  doi:10.13474/j.cnki.11-2246.2021.0103

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Disaster susceptibility mapping is the first step to improve the ability of control and prediction. In view of the problem that Jinsha River located in Yunnan province due to steep terrain and fragile ecological environment, combined with the increase of human activities in recent year, its basin has become the most frequent incident area of geological disaster in china. Taking Jinsha River of Deqin-Huapingas an example, this paper uses two methods(maxent and random forest model) for attribution and prediction of spatial distribution of landslides, and compares their differences. The result show that the prediction accuracy of random forest is higher than Maxent, and the AUC is 0.72.

Research on dynamic monitoring system of green ecological barrier based on 3S technology: take Tianjin green ecological barrier as an example

LI Yaping, SUN Xiaowei

2021, 0(4):  17-21,27.  doi:10.13474/j.cnki.11-2246.2021.0104

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This paper studies a dynamic monitoring system of green ecological barrier based on 3S technology. Through the research on the development status and application trend of 3S technology, combining the key content and characteristic requirements of dynamic monitoring of green ecological barrier, it integrates internet of things and other emerging technology, all of these finally form an integrated dynamic monitoring system of "aviation, spaceflight, ground, IoT and human" to support the work of construction implementation, planning control and daily supervision. It has achieved certain practical results in engineering progress evaluation and planning index estimation of the Tianjin green ecological barrier.

Monitoring and analysis of wetland change dynamics in the Yellow River Delta using multi-temporal remote sensing

GAO Rui, WANG Zhiyong, ZHOU Xiaodong, LIU Rui

2021, 0(4):  22-27.  doi:10.13474/j.cnki.11-2246.2021.0105

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The information of land use change in the Yellow River Delta wetland area can provide reference for relevant departments to formulate wetland protection and economic development. In 2005, 2009 and 2019, Landsat 7 ETM + remote sensing images around the estuary of the Yellow River Delta and along the Yellow River within the territory of Dongying were selected as the data sources to study the land use types by using the supervised classification method, and to distinguish the land use transfer situation of the Yellow River Delta by analyzing the change of coding, and to carry out the dynamic analysis of wetland change. The results show that the total area of wetlands in the study area decreased by 437 km² from 2005 to 2009, showing a decreasing trend. The total area of wetlands in the study area changed from 930 km² in 2009 to 998 km² in 2019, showing a stable and increasing trend in the past ten years. It was found that the coastline of abandoned delta decreased, and the location of the Yellow River estuary changed. In the study area, the land use changed frequently in the past of 14 years, and a dynamic conversion system was formed between wetland land use types and non-wetland land use types.

Accuracy verification and analysis of ground-based real aperture radar GPRI

ZHOU Chunxia, WEN Yaohui, CHEN Yiming, WANG Shaoxian, LIU Yong, LI Mingci

2021, 0(4):  28-32.  doi:10.13474/j.cnki.11-2246.2021.0106

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GAMMA portable radar interferometer (GPRI-Ⅱ) is a new type of ground-based real-aperture radar. It can continuously monitor small-scale deformation areas in real-time and detect high-frequency deformation. To verify its deformation monitoring accuracy, six sets of experiments were designed by using six corner reflectors and two manual displacement platforms to analyze the deformation detection capabilities of GPRI-Ⅱ at millimeter level and submillimeter level. The experimental results show that after the correction of the control points, the root-mean-square error of detecting millimeter-level deformation is less than 0.1 mm and that of detecting submillimeter-level deformation is less than 0.05 mm. GPRI-Ⅱ can achieve observation accuracy at millimeter or even submillimeter level for small deformation areas.

Cloud detection method based on deep convolutional neural network

DUAN Yaming, ZHANG Jinshui, ZHU Shuang

2021, 0(4):  33-39.  doi:10.13474/j.cnki.11-2246.2021.0107

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This paper introduces Fmask cloud detection results as training label into the deep convolutional neural network (DCNN) for cloud detection. Under the premise of using only the visible light band and the near infrared band, the overall accuracy of cloud detection method in this paper reaches 87.65%, which is higher than 86.92% of Fmask. It costs 18 seconds for processing a single Landsat 8 image, which is much lower than 72 seconds that Fmask costing. In addition, this method is suitable for various type of land cover in target image, and has a strong generalization ability for further application.

High-resolution remote sensing image classification based on improved DeepLabV3 network

YE Yuanxin, TAN Xin, SUN Miaomiao, WANG Mengmeng

2021, 0(4):  40-44.  doi:10.13474/j.cnki.11-2246.2021.0108

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Since high-resolution images usually have features such as rich details and large category differences, current methods for remote sensing classification of convolutional neural network generally perform poorly in classification accuracy and object boundary detection. In this paper, we propose an image classification model based on enhanced DeepLabV3 network. Firstly, R-MCN is built by combing residual networks and convolution kernels of different sizes, which is used to extract multi-scale, multi-level feature information of shallow networks. Then a learnable upsampling method is used to restore image size, and fuse the features extracted by R-MCN with high-level semantic information. Finally, a loss function named Mloss is built to achieve classification results of remote sensing images. The experimental results demonstrate that the proposed method can refine object boundaries,improve classification performance,and obtain higher accuracy of image classification compared with traditional convolutional neural network.

Empirical relationship between radar coherence and NDVI

LIU Zhiyong, ZHANG Chen, LIU Zekai, YUAN Junjian, QI Hongchang, PAN Yifeng, ZHU Huanlian, WU Xiwen, WANG Hua

2021, 0(4):  45-51,59.  doi:10.13474/j.cnki.11-2246.2021.0109

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The degree of vegetation coverage is an important factor that causes the loss of coherence between radar images. Generally, in areas with severe vegetation coverage such as forests, coherence is relatively low, while in areas with low vegetation coverage such as cities, coherence is relatively high. We establish linear regression and power function regression models based on MODIS normalized vegetation index (NDVI) and InSAR in the Pearl River Delta region in 2017. We use these two models to predict the coherence in this region in 2016 and use F distribution to test the accuracy of the models. The results show that the accuracy of the power function regression model is higher than the linear function in both fitting and prediction. Therefore, we suggest the power function model as an optimal empirical model of coherence and NDVI. Our results show that the power model can well predict the coherence not only in the Pearl River Delta in 2016, but also can predict that in high precision in Yunnan. Therefore, we suggest the empirical model might be widely used in other regions.

Construction on atmospheric weighted mean temperature model over the Tibetan Plateau

SHI Lingfan, WANG Ping, HUANG Liangke

2021, 0(4):  52-59.  doi:10.13474/j.cnki.11-2246.2021.0110

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The weighted average temperature (T_m) is a key parameter that converts the zenith wet delay into atmospheric precipitation. According to the characteristics of high altitude, high terrain fluctuation, and complicated distribution of water vapor in the Tibetan Plateau, this paper uses the GGOS Atmosphere T_m grid from 2010 to 2014 net data and surface elevation data to establish a T_m vertical decline rate function, and then establishes a new model (QTm model) suitable for the Tibet Plateau region that changes in T_m vertical decline rate is taked into account. In addition, the accuracy and applicability of the model are evaluated using 14 radiosonde stations and GGOS Atmosphere T_m grid data from the Tibet Plateau in 2015. The results show that compared with GGOS Atmosphere T_m, the average annual Bias and RMSE of the QTm model are 0.29 and 2.49 K. Compared with the GPT2w-1 and GPT2w-5 models, the RMSE increases by 38.97% and 67.06%. In comparison, the annual average Bias and RMSE of the QTm model are 0.16 and 2.90 K, which are 31.12% and 39.46% higher than GPT2w-1 and GPT2w-5 respectively. The construction of the new model provides a reliable T_m value for the Tibet Plateau region, and thus provides real-time, high-precision GNSS water vapor information.

Construction and evaluation of time-dependent stochastic model for BDS observation

LI Hui, XIN Zeyu, LIU Xue, TIAN Didi, JIA Chun

2021, 0(4):  60-63.  doi:10.13474/j.cnki.11-2246.2021.0111

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The traditional multi-epoch cumulative observational stochastic model usually ignores the time correlation of observations between epochs, which leads to its inaccurate characterization of the overall stochastic characteristics of observations. Considering the strong time correlation of GEO satellite observations in the BeiDou system, this paper proposes a method for constructing a time-dependent stochastic model suitable for BeiDou observations in multiple epochs. Based on the traditional multi-epoch stochastic model, the time correlation coefficient is directly introduced into the stochastic model, and the time correlation coefficient of each epoch observation is calculated by the residual after the difference between observation stations, and time-dependent stochastic model of BDS observation measurement under multi-epoch accumulation is generated, and its performance in integer ambiguity resolution is evaluated by actual experimental data. The experimental results show that the time-dependent stochastic model solves the problem of the overestimation of the lower limit of the PCF for the integer ambiguity in the traditional stochastic model to some extent, improves the Ratio value of integer ambiguity, and helps the integer ambiguity to pass the detection successfully. In addition, compared with the traditional stochastic model, the time-dependent stochastic model can effectively reduce the occurrence of missed detection and false alarm of integer ambiguity, and improves the reliability of integer ambiguity resolution.

Strong tracking robust adaptive filtering algorithm and its application on UAV navigation and positioning

XIAO Yewei, XIE Xiaogang

2021, 0(4):  64-67.  doi:10.13474/j.cnki.11-2246.2021.0112

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Aiming at the problems that filtering divergence and low positioning accuracy in the application of Sage-Husa adaptive filtering algorithm in UAV navigation and positioning, a strong tracking robust adaptive filtering algorithm is proposed in this paper.The algorithm is based on Sage-Husa adaptive filtering, introduces the strong tracking technology in it, and reduces the influence of historical data on current filtering through adaptive fading factor, so as to suppress the divergence of filtering and enhance the robustness of the algorithm.The measurement noise and system noise are combined for real-time estimation, and the robust factor is added to the estimation to suppress the interference of outliers to the filtering and improve the positioning accuracy.Simulation results show that this algorithm can perform well in the case of filtering divergence and outliers, and has stronger robustness than Sage-Husa algorithm.

Estimation of IMU/ODO external parameters based on pre integration

HE Qian, CHANG Le, WU Yousi

2021, 0(4):  68-73.  doi:10.13474/j.cnki.11-2246.2021.0113

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Odometer is usually used to assist vehicle GNSS/INS integrated navigation system to solve the problem of precision degradation caused by signal interference and shielding in high-rise buildings, dense forests, tunnels, etc., while odometer assistance needs to obtain accurate odometer arm and installation angle. In this paper, a pre-integration based IMU/ODO external parameter estimation algorithm is proposed. The cost function is constructed by using the mileage increment difference obtained from odometer observation and GNSS/INS integrated navigation, and the calibration parameters are solved by nonlinear optimizer. Simulation and actual test show that the calibration method is effective. The external parameter compensation of odometer observation after calibration can provide centimeter level assistance for vehicle GNSS/INS integrated navigation system.

Dam deformation prediction using SVM and ARIMA combined model

YANG Heng, YUE Jianping, ZHOU Qinkun

2021, 0(4):  74-78.  doi:10.13474/j.cnki.11-2246.2021.0114

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Because the time series data of dam displacement is affected by various complex factors and has non-stationary and nonlinear characteristics,it is difficult to accurately describe the complex laws of dam displacement and deformation using a single traditional time series prediction model. Considering of the comprehensive consideration of the nonlinear and linear characteristics of the dam displacement time series,this paper proposes a time series prediction model based on the combination of SVM and ARIMA. The dam deformation time series is divided into the nonlinear part and linear part. For the nonlinear part,the support vector machine is used for rolling prediction. Compared with the NAR dynamic neural network,the support vector machine has a relative advantage in dealing with nonlinear problems. For the linear part,a single-step rolling prediction is made through the ARIMA model,and the prediction value of the combined model is obtained by combining the two prediction results. The combined model is tested with the measured data of the dam. The experimental results show that the SVM-ARIMA combined model has high prediction accuracy and can better describe the change trend of the dam displacement, which has certain practical value.

Automatic generation of road network model for indoor floor plane navigation

LI Huarong, PENG Yingxue, LI Haiming

2021, 0(4):  79-84,104.  doi:10.13474/j.cnki.11-2246.2021.0115

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Indoor road network model is the basis of indoor navigation research. How to automatically generate indoor road network model has become a research hotspot in recent years. In order to solve the problem of insufficient adaptability of complex environment in the research of automatic road network model, an automatic extraction method of indoor floor plane road network model is proposed. It divides indoor space into public space and exclusive space, thus forming public space path and exclusive space path, and connecting the two kinds of paths with transition points. Finally, the public space path, the exclusive space path and the connection path constitute the floor plane navigation network model. Based on this method, the planar automatic road network model is generated from the building plan of the first floor of a teaching building in a school, and compared with the manual road network model in three aspects of path integrity, accuracy and wayfinding, and the performance of the model is good.

Research on the new generation mobile 3D GIS platform

WANG Xingjie, GUO Ke, ZHANG Tingbin, WANG Gang, YUAN Weiqiang

2021, 0(4):  85-89.  doi:10.13474/j.cnki.11-2246.2021.0116

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With the coming of 5G era, people's demand for mobile 3D GIS platform is higher and higher. However, mobile GIS technology faces many opportunities and challenges. With the development of GIS industry and higher requirements of users, a new generation of mobile 3D GIS platform is proposed. This paper analyzes the technical requirements of the new generation mobile 3D GIS platform in 3D data, virtual roaming, dual mode data loading, intelligent data processing and rich statistical analysis, designs the system platform framework and dual mode data loading technical framework, studies VR roaming technology and 3D spatial data statistics, and realizes the new generation mobile 3D GIS platform. Through the verification of actual data, the research result of this paper meets the technical requirements of the platform, and provides technical reference and new ideas for the research of the new generation mobile 3D GIS platform.

Application of airborne LiDAR technology in geological hazard investigation in mountainous area with dense vegetation

SUN Tao, XU Mingyu, DONG Xiujun, PAN Xing

2021, 0(4):  90-97.  doi:10.13474/j.cnki.11-2246.2021.0117

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The geological hazards in densely vegetated mountainous areas of China are characterized by high position and high concealment. But the traditional methods of geological hazard investigation can not effectively solve the problem of early identification of hidden hazards. The airborne radar can obtain 3D laser point cloud with ground reflection intensity, which can not only provide high resolution and high precision two-dimensional image of topography, but also can "penetrate" the ground vegetation with multi-echo technology. The filtering algorithm can effectively remove the influence of the vegetation on the ground surface and obtain the true ground elevation data, so that the features of various terrain features and the signs of slope deformation in the relevant areas can be seen clearly. And the fine and accurate morphological features of the disaster body can be obtained. In this paper, the application of airborne LiDAR technology in Qiaoshan Park, Foshan City, Guangdong Province, has been studied. The results show that airborne LiDAR technology can improve the early identification ability of geological hazards in densely vegetated mountainous areas, which is helpful to improve the ability of comprehensive disaster prevention and reduction.

A fast and efficient method for smoothing seamless texture

ZHANG Shouquan, LI Dajun, GUO Bingxuan, LIU Dan, PENG Zhe

2021, 0(4):  98-104.  doi:10.13474/j.cnki.11-2246.2021.0118

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Aiming at the problems of obvious chromatic aberrations, seams and inefficient processing between textures after 3D reconstruction of oblique images, a fast and efficient method of seamless texture homogenization is proposed. Firstly, this method performs image enhancement preprocessing on the input de-distorted image, and establishes constraint equations for all vertices and edges of the model, solves the color correction value of each vertex. Secondly, this method interpolates the three vertices to obtain the color correction value of the pixels inside the triangle. Then, a texture block with no global color difference is obtained by texture expansion. Finally, this method performs a reduced resolution Poisson editing on the texture block. The experimental results show that the method of this paper is used for texture homogenization processing, which has the advantages of no color difference between texture blocks, natural texture transition at the seam line, and faster calculation speed, which can enhance the readability of the 3D model and improve the display effect of the 3D model.

Road extraction method in transmission channel in mountainous area

PENG Chi, MAO Xianyin, YANG Liuqing, MA Xiaohong, Lü Qianyong, DU Hao, WANG Di, YU Rong

2021, 0(4):  105-110,125.  doi:10.13474/j.cnki.11-2246.2021.0119

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Accurate extraction of objects in transmission channels is the basis of three-dimensional modeling and intersection analysis of transmission channels. In order to solve the problems of low robustness and low efficiency of road extraction methods in transmission channels in mountainous areas such as Guizhou, in this paper, the fast and accurate extraction of roads in transmission channels in mountainous areas in images is studied by combining road feature significance detection and morphological constraints. First of all, the road features in the mountain area in the satellite image are analyzed, and the pixel-level significant values based on road color consistency and road structure consistency are calculated for each pixel. And then, combined with the a priori knowledge of significant target space, the saliency detection results are fused to form the final road saliency map, and the road targets in the image are extracted preliminarily. Finally, the differences between roads and buildings are analyzed, the road shape constraints are defined based on the consistency of road shape, and the accurate extraction of roads is realized through the formulation of constraint rules. The results show that the roads with different bending degree, different adhesion degree and different image contrast can be extracted quickly and accurately, and the average extraction integrity, accuracy, quality and time-consuming are 97.5%, 97.0%, 95.6% and 0.515 s, respectively. It can be seen that this method has high robustness, can extract roads in various cases quickly and accurately, and has a good application prospect in transmission line engineering.

The application of illegal building detection from VHR UAV remote sensing images based on convolutional neural network

LIANG Zheheng, DENG Peng, JIANG Fuquan, SHENG Sen, WEI Rulan, XIE Gangsheng

2021, 0(4):  111-115.  doi:10.13474/j.cnki.11-2246.2021.0120

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UAV aerial photography has the characteristics of very high resolution(VHR) and short revisit period. By using UAV remote sensing technology to dynamically monitor the construction activities in urban areas, suspected illegal construction activities can be identified promptly. In this paper, the method of detecting and discovering illegal building by using convolutional neural networks in some project on remote sensing data production is researched. Thus, past mode of manual inspection can be replaced. Good results are achieved in the test areas where the sample data is less than 5000 with the optimal precision of 71% and recall of 88%. With the continuous increase of sample data, the precision and recall rate can be improved greatly based on the proposed method, and illegal activities can be found more accurately. The research shows great potential applications.

Research on weighted least squares optimizing the accuracy of vectorization of oblique photogrammetry

WU Jiajie, LIU Kunming, SUN Liheng, DENG Jinghu, HUANG Xia, ZHENG Qinhua

2021, 0(4):  116-119,135.  doi:10.13474/j.cnki.11-2246.2021.0121

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UAV tilt photogrammetry technology comprehensively perceives complex scenes in a high-precision, high-efficiency, and large-scale manner, which recovers the three-dimensional scene through professional data acquisition equipment and modeling software, and then performs the measurement. Most of the three-dimensional mapping software on the market is based on orthogonal principle of facade scattered points, which cannot effectively reduce the errors caused by manual stereo mapping. This paper proposes a method of weighted least squares line to optimize the vectorization precision of the tilt photogrammetry model. Some areas of Nanchang Sanghai Management Committee of Nanchang city are selected for topographic map data collection and accuracy assessment in this paper. Experiments show that the accuracy of the stereo mapping model is improved by two centimeters through the method.

Development and application of vehicle mobile mapping system

LONG Chuan, GOU Yonggang, MING Jing, LI Feng, HU Xiaolin, HUANG Zhi

2021, 0(4):  120-125.  doi:10.13474/j.cnki.11-2246.2021.0122

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In order to meet the needs of high-precision spatial information acquisition, a new generation of mapping level vehicle mobile measurement system is developed based on the integration of high-end domestic LiDAR, inertial measurement unit and other sensors. This paper designs and optimizes the system communication bus, analyzes the factors that affect the system precision, puts forward the laser radar cone sweeping angle calibration method and the system whole calibration method, and puts forward the method of optimizing the POS data by using RTK. The accuracy of the system is the centimeter level. The system has been applied in the production of high-precision navigation map. It is proved that the system is easy to install, fast to collect and process, meets the needs of high-precision spatial data acquisition, and improves the efficiency and accuracy of high-precision spatial data acquisition.

Analysis of the applicability of the regional gravity data to high-precision leveling correction in Jiangsu area

XU Yiping, WU Bo

2021, 0(4):  126-130,155.  doi:10.13474/j.cnki.11-2246.2021.0123

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In this paper, the influence of different spatial gravity anomaly accuracy on the correction of gravity anomaly in leveling is analyzed. Two correction methods of measured gravity and Bouguer anomaly database are used to calculate the correction values of gravity anomalies in two test areas in Jiangsu province, and the differences between the two correction values are compared. The results show that the measured distribution of gravity points without regard to topographic relief is the main factor that causes the difference between the two correction methods. In the area with large topographic relief, if the leveling line turns or tilts too much, the gravity of measuring point should be added, and the measured gravity should be used to correct the gravity anomaly of leveling height difference. The accuracy of Bouguer anomaly database and gravity leveling is similar in small flat area.

Effectiveness evaluation of camera calibration for portable consumer UAV

LI Ji, XIONG Jing, XIONG Baosong, WU Xingyu, ZHANG Chaoyang, LI Xue

2021, 0(4):  131-135.  doi:10.13474/j.cnki.11-2246.2021.0124

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This paper has carried out a study on the effectiveness of camera calibration for portable consumer-grade drones that have been widely used in various industries in recent years. The camera is calibrated and self-calibrated through indoor calibration fields and post-processing software. After camera calibration, post-flight camera calibration, and self-calibration iterative correction methods, the effectiveness of different camera calibration schemes is evaluated. The results show that the overall accuracy of the various schemes is not much different. The accuracy of the pre-flight and post-flight camera calibration is equivalent to that of no camera calibration. The accuracy of the self-calibration iterative correction is slightly higher than other schemes. It can be seen that the iterative correction method of self-calibration parameters of aerial photos is more suitable for the calibration of portable consumer-grade UAV cameras with low flight control accuracy and imaging system stability.

Research on the integration technology of government information resources in standard geographical name and address

WAN Ranran, LI Ting

2021, 0(4):  136-140.  doi:10.13474/j.cnki.11-2246.2021.0125

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Government information sharing service is the great significance for building a service-oriented government and modernizing the country's governance system and governance capabilities. At present, government information resources in various industries and departments are in various forms and rich in content. And most of them are related to geographic information, Which is mainly stored through address fields. However, duing to different collection calibers, collection time, collection standards, etc., the description of address information is inconsistent. And it is difficult for the government information of different departments to be aggregated to a unified geographic location. Or after the information is aggregated, data mining and analysis of multiple data sources cannot be carried out duing to the single type of aggregation. Therefore, in this paper, the construction of the smart Xinyu space-time information cloud platform project is taken as an example, and a method based on standard geographical name and address matching is proposed for integrating government information resources, which improves the integration efficiency and shared development level of government information. Moreover, after integration with geographic entities, government information can be "planned with graphs, analyzed with graphs, and written with graphs", which can promote cross-level, cross-regional, cross-industry, and cross-departmental sharing of government information resources.

Design and implementation of real scene fusion system based on 3D GIS

LIU Xinping, WANG Lei, WU Changbin, HUANG Jing, WEI Manqiong

2021, 0(4):  141-145,155.  doi:10.13474/j.cnki.11-2246.2021.0126

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With the widespread application of video surveillance in the field of security, the traditional sub-lens surveillance mode has the limitations of isolated images and lack of correlation. This paper analyzes the difficulties of the fusion display of real-time surveillance video in 3D scenes, and designs a 3D GIS-based the real scene fusion system. The system calculates the projection angle of the video projection by matching the visual characteristics, and studies the method of video linkage projection of the virtual and real scenes for the dome equipment, and loads the data through the service configuration. Experimental results show that the system has excellent effect of real-world fusion display, and to some extent improves the display performance of multi-channel real-time video integration in three-dimensional scenes, and can be widely used in public security and smart city areas with strong video and strong GIS services.

Design and implementation of a 3D smart pipeline system based on WebGL

ZHU Junxia

2021, 0(4):  146-150.  doi:10.13474/j.cnki.11-2246.2021.0127

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With the rapid development of the city, the construction of pipeline is also continuously promoted. As the underground "neural network" of the city, it ensures the operation and development of the city 24 hours a day. In order to realize the high availability, no plug-in and intelligence of smart pipeline system, this paper uses the design concept of "integration of ground and underground" and "2D and 3D integration", studies the key technologies of 3D smart pipeline system based on WebGL, and realizes the digitalization, spatialization and graphization of smart pipeline system.

The interdisciplinary research of GIS and linguistics

WEI Ren

2021, 0(4):  151-155.  doi:10.13474/j.cnki.11-2246.2021.0128

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GIS has been widely used in the humanities and social sciences, geospatial database is the basement of the languages of geographical information system, it combines geospatial data and language feature data through data management system, it provides visual scientific basis for linguistic research. This paper proposes the GIS uses for linguistics research, and with the help of the powerful spatiotemporal analysis function of GIS, we can dynamically demonstrate the spatial distribution of the sibe evolution in the languages of geographical information system, and provides empirical materials for sibe research.

Application of satellite remote sensing in implementation and supervision information system for “one map”

HUANG Yongjin, JI Jingping, SUN Huayun, XIA Xiaorui, JIANG Xi

2021, 0(4):  156-159,163.  doi:10.13474/j.cnki.11-2246.2021.0129

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Combined with the implementation and supervision information system for "one map" of territorial spatial planning, this paper analyses the application of satellite remote sensing technology in territorial spatial planning implementation evaluation, territorial spatial development suitability evaluation and territorial spatial planning monitoring and early warning, and summarizes and discusses the application contents, methods and effects. The analysis shows that remote sensing technology can provide a large number of basic data for the "one map" of territorial spatial planning, which plays a very important role in evaluating the dynamic of urban development and planning urban land reasonably.

Application of Trimble X7 3D laser scanner in surveying and mapping of construction project completion

YU Zhangrong, WANG Youkun, PAN Junhua, LIN Chusen

2021, 0(4):  160-163.  doi:10.13474/j.cnki.11-2246.2021.0130

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Completion survey is an important work in the planning and acceptance of construction projects. The traditional completion survey method has the disadvantages of long field work time and single result. In this paper, Trimble X7 3D laser scanner is applied to the completion survey of building engineering, and the corresponding technical methods and processes are put forward. Simultaneous interpreting and analysis compared with traditional completion survey are made.