Bulletin of Surveying and Mapping

Precise Orbit Determination of BeiDou Satellite Navigation System Based on National Reference Station

HAN Deqiang, DANG Yamin, WANG Hu, XUE Shuqiang, ZHANG Longping, LIU Zongqiang

2017, 0(8): 1-6. doi:10.13474/j.cnki.11-2246.2017.0244

Asbtract ( )

HTML

PDF (3438KB) ( )

References | Related Articles | Metrics

The determination of satellite precision orbit is one of the core technologies of BeiDou satellite navigation system location and service, and the national reference station is an important factor affecting satellite orbit accuracy. In this paper, based on the software developed by the international GNSS monitoring and evaluation center of China Academy of Surveying and Mapping, the impact of the national reference station and MGEX station on the precise orbit determination of the Beidou satellite is analyzed. The results show that the average accuracy of the GEO satellite orbit can reach 2.0 m, which is about 14% higher than that of the national reference station, and the most obvious improvement in the tangential direction of GEO is about 30%. IGSO and MEO satellites also improved. After adding the national reference station, the radial precision of the three types of satellite orbit repeat arc is better than 5 cm. With the national reference station data BDS precise track will be significantly improved. The establishment of national reference station makes the service ability of BeiDou navigation satellite greatly improved.

Optimization of Disaster Base Station Network Based on IAGA Model

HE Qimin, WANG Jian, AO Jiamin, YU Hang, XU Bo, YANG Haichao

2017, 0(8): 7-12. doi:10.13474/j.cnki.11-2246.2017.0245

Asbtract ( )

HTML

PDF (1332KB) ( )

References | Related Articles | Metrics

According to the natural environment characteristics of the mine, office buildings and other disaster areas, combined with the characteristics of multiple signal coverage, an improved adaptive genetic algorithm is proposed to optimize the deployment of base station network. Firstly, the time difference of arrival algorithm in disaster environment is introduced, using DOP to evaluate the positioning accuracy and put forward the principle of network deployment. The base station coordinates are solved by using the integrated performance as the objective function. The simulation results show that the IAGA model can be applied to the optimization of emergency network, and the algorithm can achieve the optimal or suboptimal solution.

High Precision Quasi-geoid Computations Using Improved Stokes-Helmert Boundary Value Problem

LI Deqiang

2017, 0(8): 13-18. doi:10.13474/j.cnki.11-2246.2017.0246

Asbtract ( )

HTML

PDF (1187KB) ( )

References | Related Articles | Metrics

Using the improved Stokes-Helmert boundary value problem, centimeter-order quasi-geoid over Linyi city have been established. Firstly, based on the Stokes theory and Molodensky theory, and making use of the achievements of rigorous solution for disturbing gravitational potential near the surface and exterior of the earth,the mathematical forms of Stokes-Helmert boundary value problem was derived, and the computational formula of direct and indirect topographic effect on the geoid were given. Secondly, the multi-source hetemgeneous data and information were combined to compute the gravimetric quasi-geoid model based on the improved Stokes-Helmert method and the well-known "remove-restore" technology. Finally, the combined adjustment of GPS/leveling height anomaly and gravimetric quasi-geoid data were conducted to obtain the final quasi-geoid model. Numerical results showed that the external accuracy reached 1.6 cm.

SIMO-MIMO Model Urban Buildings Downward-looking Array SAR 3D Simulation

XUE Yanming, LIU Hui

2017, 0(8): 19-24. doi:10.13474/j.cnki.11-2246.2017.0247

Asbtract ( )

HTML

PDF (1235KB) ( )

References | Related Articles | Metrics

The absence of real downward-looking array SAR system has brought difficulties to data acquisition and further technical for this technology, so the research of downward-looking array SAR 3D simulation has great significance. In order to effectively reflect the 3D imaging advantages of the downward-looking array SAR technology in urban buildings, SIMO and MIMO were used to simulate the downward-looking array SAR echo data of urban buildings in this paper. And then the 3D RD imaging algorithm is processed on the echo data of this two modes. The difference contrast of simulation results of SIMO mode and MIMO mode with original terrain verified the effectiveness of this method and advantages and disadvantages of two models.

Error Analysis of Image Coordinate Projection Transformation Caused by Rail Inclination of GB-SAR

WANG Peng, XING Cheng, XU Yaming

2017, 0(8): 25-30. doi:10.13474/j.cnki.11-2246.2017.0248

Asbtract ( )

HTML

PDF (1211KB) ( )

References | Related Articles | Metrics

Both pitch angle of rail centerline and roll angle of rail horizontal axis could lead to projection error in GB-SAR imaging process. In this paper, calculation formula of imaging projection error has been deducted, considering the spatial relationship between the sensor running rail and the imaging projection plane of GB-SAR. Calculation and analysis results show that the pitch angle generated when positioning GB-SAR running rail is usually negligible, meanwhile, the imaging projection error is more sensitive to the roll angle of this running rail. In continuous deformation monitoring applications of GB-SAR techniques, the lateral posture of sensor running rail need to be strictly controlled, ensuring its levelness.

The Extraction Method of High Resolution Remote Sensing Image Based on Road Comprehensive Feature

WEI Guowu, WANG Qi, ZHANG Yangyang, CHEN Yongsheng

2017, 0(8): 31-35. doi:10.13474/j.cnki.11-2246.2017.0249

Asbtract ( )

HTML

PDF (1306KB) ( )

References | Related Articles | Metrics

Aimed at improving roads in high resolution remote sensing image information extraction accuracy and the amount of information, this paper focuses on improving the image from the segmentation, and introduces texture and spectral characteristics of the image. An image clustering segmentation method based on combined features is proposed. We divide integrated features into three kinds of texture features and spectral characteristics.By selecting the size of the window from the gray levels and the relative orientation of the pixels on the four parameters, gray level dependence matrix extracts image texture features, after contrast five kinds of suitable texture characteristics for remote sensing image, this paper chooses contrast, angle second order moment and entropy as the texture characteristics, and chooses average gray image pixel and standard deviation as spectral features. Finally, based on segmentation image, which segmented by the comprehensive features of road, using image geometric characteristics and mathematical morphology such as open operation, corrosion, closed operation, refined, and the image processing algorithm to get the final road extraction results. The experimental results show that the method can be used to complex road information extraction.

Study of Fusion Algorithms with High Resolution Remote Sensing Image for Urban Green Space Information Extraction

WANG Minye, FEI Xianyun, XIE Hongquan, LIU Fan, ZHANG Hong

2017, 0(8): 36-40. doi:10.13474/j.cnki.11-2246.2017.0250

Asbtract ( )

HTML

PDF (1327KB) ( )

References | Related Articles | Metrics

High remote sensing image has been applied in extracting urban green space information widely, however effectiveness of fusion algorithms need further research. GS, PCA, Ehlers, Wavelet, HIS are applied to merger of urban WorldView-2 and PL-1A image. Then the effectiveness of fusion algorithms are evaluated according to quality of fusion and accuracy of urban green space information extraction. The results show that GS fusion algorithm achieves the best results. Quality of WorldView-2 fusion images using PCA and Ehlers fusion algorithms is better than that of PL-1A fusion images applied same algorithms. Wavelet and HIS are worst in five algorithms. Accuracy of urban green space extraction based GS, PCA, Ehlers, and Wavelet fusion images are better than accuracy of multispectral images. In those four fusion algorithms, GS and PCA are best while Ehlers and Wavelet are slightly inferior. From what has been discussed above shows that fusion algorithms can improve the accuracy of green space information extraction obviously. The GS algorithm has best fusion result and good universality in five fusion algorithms.

Calibrating Landslide Displacement Field by Using High-resolution Image and Feature Matching Algorithm

ZHANG Huihui, WANG Ru

2017, 0(8): 41-44. doi:10.13474/j.cnki.11-2246.2017.0251

Asbtract ( )

HTML

PDF (1201KB) ( )

References | Related Articles | Metrics

Landslide hazard is one of the most destructive natural disasters in the world. Landslide monitoring is an important foundation for preventing landslide hazard. In view of the problem that feature points extracted by SIFT which is applied to landslide remote sensing monitoring is few and uneven distribution, a new improved method of calibrating landslide displacement field which uses ASIFT to process panchromatic images and CSIFT to process multi-spectral fusion images is proposed. This method can combine the different feature points extracted from ASIFT and CSIFT to get more feature matching points. The results show that compared with the SIFT algorithm, this method greatly increases the number of feature points and improves the calibration precision of the landslide displacement field. It has the advantages of low cost and high efficiency, and is very suitable for large scale large deformation field monitoring in later stage of landslide.

Road Extraction of Remote Sensing Image Based on Contrast Enhancement and Morphology

YANG Xiaocui, MENG Wanli

2017, 0(8): 45-49. doi:10.13474/j.cnki.11-2246.2017.0252

Asbtract ( )

HTML

PDF (1200KB) ( )

References | Related Articles | Metrics

A method of road boundary and feature point extraction for remote sensing image was proposed based on contrast enhancement and morphology. Firstly, it carries on contrast enhancement of remote sensing image. Piecewise linear enhancement method with larger discriminative power was selected to do image enhancement after comparative analysis difference between histogram equalization and contrast piecewise linear enhancement. In order to realize the separation of road and other information effectively, image segmentation was done using mathematical morphological method. Then, using edge detection method by Krisch operator to extract road edge information, and feature points extracted by improved Harris operator based on edge feature. Last, fitted the extracted feature points and the function model was used to describe the road information of the image and applied to vector road information in the later period of drawing.

Quantitative Inversion Vegetation Equivalent Water Thickness by Combined Model of PRO4SAIL and the Support Vector Regression

LI Danna, GUO Yunkai, ZHU Shankuan, LIU Ning, LIU Lei, JIANG Ming

2017, 0(8): 50-55. doi:10.13474/j.cnki.11-2246.2017.0253

Asbtract ( )

HTML

PDF (1140KB) ( )

References | Related Articles | Metrics

To monitor the ecological environment of the road vegetation, remote sensing image and the radioactive transfer model are used to estimate vegetation equivalent water thickness. In this paper, a combined model of PRO4SAIL and support vector regression is presented to estimate vegetation equivalent water thickness. We explore the feasibility and accuracy of inversion vegetation parameters of the combined model of PRO4SAIL and support vector regression by the Landsat7 ETM+image and measured data. Research shows that the combined model has good prediction ability, and the accuracy of the equivalent water thickness is high. It also can improve the strong support for support vector machine model applied to remote sensing image inversion of vegetation parameters.

Recovery of Distorted DEM under Constraint of Terrain Feature

ZHOU Bo, XU Junbo

2017, 0(8): 56-61. doi:10.13474/j.cnki.11-2246.2017.0254

Asbtract ( )

HTML

PDF (1360KB) ( )

References | Related Articles | Metrics

There is a certain degree of distortion in Digital Elevation Model (DEM) depicting terrain. It is necessary of recovering distorted DEM to improve the accuracy and fidelity. In this paper, a method of recovering distorted DEM of regular terrain under constraint of terrain feature is proposed by taking a flat terrain object as an example. Firstly, the DEM of flat terrain should be a flat structure according to terrain feature, and it can be described by a plane equation. Then the expression of plane can be estimated by parameter estimation algorithms, this paper selects least square method (LS) and random sample consensus algorithm (RANSAC) to estimate it. And the recovered DEM will be obtained based on the expression. The recovery results reveal that the method is effective and feasible, and the recovered DEM not only has a higher accuracy, but also can reflect the terrain feature fully and exactly. With massive grid points, both algorithms can achieve a great recovery effect. However, RANSAC algorithm has a better robustness than LS and RANSAC can better adapt to the mutations of elevation.

Fuzzy Segmentation and Genetic Algorithm Based Road Vehicle Extraction Method from High Resolution Aerial Image

ZHAO Quanhua, CHANG Bo, WANG Yu, LI Yu

2017, 0(8): 62-66. doi:10.13474/j.cnki.11-2246.2017.0255

Asbtract ( )

HTML

PDF (1109KB) ( )

References | Related Articles | Metrics

Nowadays, vehicle object extraction of remote sensing image and its potential applications become a hot topic. However, the optical information of vehicles is seriously weakened by a series of factors, such as environment and the velocity of the vehicles, so that the extraction accuracy of vehicles is accordingly reduced. To this end,a vehicle extraction method of remote sensing image using genetic algorithm and mathematical morphological operation has been proposed. First, a pre-clustering operation of remote sensing image is done by using histogram-based technique, and optimizing the initial cluster centers applied the genetic algorithm to improve the accuracy of segmentation results. Then, the mathematical morphological operation is used to extract the edges of vehicles. The aerial images are tested to extract vehicles using the proposed approach. The experiment results show that this method can identify the situation of vehicles on the ground as well as extract the contour line accurately.

Intelligent Road and Bridge Disease Detection Method Based on UAV Images

PENG Yaoyao, WANG Siyuan, FU Xingyu, SHEN Ming, YOU Yongfa

2017, 0(8): 67-70,105. doi:10.13474/j.cnki.11-2246.2017.0256

Asbtract ( )

HTML

PDF (1156KB) ( )

References | Related Articles | Metrics

Disease assessment is an important aspect of roads and bridges maintenance. Current disease detection is mainly based on automatic measuring vehicles and visual judgments, with the shortcomings of heavy workload and high risk. Correspondingly, the low-flying six-rotor unmanned aerial vehicles (UAV) can take photos of roads and bridges from multi-angles, which has great advantages on roads and bridges detection. Based on UAV images, this paper developed a new method in disease detection of roads and bridges. First, the multi-component deformation model was used to simulate the disease target. Then the global image was searched to detect the potential disease areas. Finally, the disease areas were detected from UAV images. Experiments showed that the proposed algorithm could effectively detect the disease in complex background, and the target detection accuracy was over 80%, with high efficiency and strong robustness.

Reconstruction of Slope Point Cloud and Deformation Analysis Based on TLS Technology

MENG Wanli, CAI Lailiang, YANG Xiaocui, YANG Wangshan, WANG Shanshan

2017, 0(8): 71-75. doi:10.13474/j.cnki.11-2246.2017.0257

Asbtract ( )

HTML

PDF (1269KB) ( )

References | Related Articles | Metrics

Aiming at the problem that not only the slope point cloud is void and uneven distribution,but also the effect of establishing the slope model directly and comparing analysis of deformation is poor,this paper puts forward a method which used an improved inverse distance weight interpolation to fast compress and reconstruct point cloud and procedures to achieve automated processing.Then it established the NURBS surface model fast based on the reconstructed point cloud cond compared analysis of deformation based on the NURBS surface model.The research achieved the purpose of using laser point cloud data to rapidly construct slope model and deformation analysis.By Riegl VZ-1000 scanners collected two point cloud data of a slope in mining subsidence area.The experimental analysis showed that the proposed method could implement quickly and automatically to compress and reconstruct the slope terrain point cloud.And the proposed method could implement quickly and accurately to build the slope model and from the surface,line,point to conduct a comprehensive analysis and comparison.The calculated results were in agreement with the measured values,and conformed to the actual terrain changes.The research of this paper supported the application of 3D laser scanner in slope deformation monitoring.

Research on the Registration of Domestic Satellite Images

JIANG Juntao, QI Haoping, SHEN Peipei, MA Yuxiao

2017, 0(8): 76-79,105. doi:10.13474/j.cnki.11-2246.2017.0259

Asbtract ( )

HTML

PDF (1196KB) ( )

References | Related Articles | Metrics

It is difficult to find correspondence points on the satellite images of the high altitude mountainous area of west China because of the geographic and geomorphic conditions. To solve the multispectral deviation of the satellite images, this paper use SIFT-based algorithm, regional gray-based algorithm and artificial registration to do registration experiments on domestic satellite images such as ZY1-02C, ZY-3, GF-1 and so on. Then visual method and error method are used to evaluate precisions, the results of which are contrasted and analyzed. The experimental results show that:artificial method has higher registration precision, but the efficiency is poor; regional gray-based method is affected by luminance difference which extracts least correspondence features and has the lowest registration precision; SIFT-based method has the highest degree of automation which can extract a huge amount of correspondence features and can also screen out false matching points. It has a higher registration precision.

Research on Road Network Characteristics Based on Proximity Graph

WANG Shaohua, ZHONG Ershun, LIAO Huajun, ZUO Yao, CAI Wenwen, LONG Liang

2017, 0(8): 80-83. doi:10.13474/j.cnki.11-2246.2017.0260

Asbtract ( )

HTML

PDF (1228KB) ( )

References | Related Articles | Metrics

Beijing road network characteristics were analyzed by employing statistical methods, proximity graph theory and method. The results showed that the relative neighborhood graph can be seemed as characteristics of Beijing road network. Therefore, the research about road network characteristics based on proximity graph provided theoretical support to road network analysis.

Joint Scatterers Processing for Time-Series SAR Interferomtry with KSTEST Inference

ZHANG Jinbao, LÜ Xiaolei, LU Xiaojun

2017, 0(8): 84-87. doi:10.13474/j.cnki.11-2246.2017.0261

Asbtract ( )

HTML

PDF (1164KB) ( )

References | Related Articles | Metrics

Joint scatterers InSAR is the second-generation time-series InSAR technology, comprised of three technical procedures:building a joint scatterers signal model, performing a goodness-of-fit test, and conducting a spatial adaptive filtering. Based on one-dimensional KSTEST inference, the essay advances method of non-parametric goodness-of-fit test based on joint scatterers. In comparison with the results of conventional multi-temporal InSAR, the testing data based on the new methods have attested to an effective elevation in the spatial density of deformation monitoring points and a further improvement in the deformation monitoring capacity.

Mapping Spatial and Temporal Patterns of Air Condition in Northeast China

WANG Rui, ZHOU Mengjie, WANG Yiheng, LIU Yaolin

2017, 0(8): 88-91. doi:10.13474/j.cnki.11-2246.2017.0262

Asbtract ( )

HTML

PDF (1137KB) ( )

References | Related Articles | Metrics

The development of industry in China heavily depends on high energy consumption and high pollution industries, such as coal, steel, electricity, transportation and other traditional polluting industries, which cause serious environmental pollution problems. Northeast is an important heavy chemical industry base and one of the main grain industry producing areas in China. The ecological environment, especially the air quality of northeast China is of great importance. The focus of this study is to create a map representing the spatial temporal pattern of the air condition in northeast China. A calendar view is used to visualize the daily condition of air quality and primary pollutant in each city in 2015, the visualization also adds geographic-referenced information to enable them to express the spatial relationship between the cities. The air condition map provides an efficient way to investigate and understand the current status of air quality and spatial-temporal patterns of air condition in northeast China. This method is helpful for identifying major air pollution issues, raising public awareness of environmental protection, and making an air pollution abatement policy.

Application of Multi-temporal InSAR in Deformation Monitoring of Urban Subway Construction Area

GUO Shanchuan, HOU Huping, ZHANG Shaoliang, MI Jiaxin, SHANG Zhimin

2017, 0(8): 92-99. doi:10.13474/j.cnki.11-2246.2017.0258

Asbtract ( )

HTML

PDF (1776KB) ( )

References | Related Articles | Metrics

It has been showed that subway construction will cause deformation of urban surface. The traditional differential interferometric synthetic aperture radar (D-InSAR), however, can hardly achieve a precise monitoring in urban subway construction area. Adopting TerraSAR-X high resolution data, the ground deformation of the eastern part of Xuzhou Metro Line 1 is monitored by using PS-InSAR and SBAS-InSAR methods, and the multi-temporal diagram of deformation from June 15, 2016 to September 11, 2016 is obtained in this paper. By a comparison with the data from level measurement which using artificial corner reflector site to validate, it is found that the surface deformation results obtained by the two InSAR measurements are consistent with the leveling results greatly, and the deformation errors are within 1 mm; while the sensibility of SBAS-InSAR to detect surface deformation is lower than that of PS-InSAR. The result shows that monitoring urban underground deformation with high resolution SAR images has sub-millimeter accuracy and meter-level positioning ability. At the same time, it provides an intense certification for a broad prospects of the application of multi-temporal InSAR technology in the deformation monitoring of urban subway project.

Urban Examination Evaluation System and Its Key Technologies Based on Spatial Big Data

KONG Lingyan, GUAN Li, DING Yanjie, CHEN Si

2017, 0(8): 100-105. doi:10.13474/j.cnki.11-2246.2017.0263

Asbtract ( )

HTML

PDF (1227KB) ( )

References | Related Articles | Metrics

For "urban disease" problem, such as overcrowding, traffic congestion, environmental pollution, housing difficulties and so on, in order to assess urban situation objectively and quantitatively and find the causes of "urban disease", this paper presents concept of "urban examination" based on spatial big data in spatial information domain. Hoping to play the role of comprehensive, objective and accusation of spatial big data, to evaluate urban in full range is important, such as population, resources, environment, housing, public facilities, road transportation, economic development and urban safety. Its results will provide basic data for governance of "urban disease". In this paper, concept and connotation of "urban examination" is presented firstly, and overall process of "urban examination" is designed, and comprehensive assessment system is established.Finally key technologies to retaliate "urban examination" are described. By the way of "urban examination", to measure the illness degree of urban objectively is the first condition of position of "urban disease".

Calculation Methods and Accuracy Analysis of Meridian Arc Length

LIU Xuejie, YANG Likun

2017, 0(8): 106-109,116. doi:10.13474/j.cnki.11-2246.2017.0264

Asbtract ( )

HTML

PDF (1049KB) ( )

References | Related Articles | Metrics

There are several kinds of algorithms for calculating the meridian arc length except the classical expanded algorithm, such as numerical integration and ordinary differential equations numerical solution. In order to study the accuracy of each algorithm, this paper selected 3 sets of sample data within the geodetic latitude from 0° to 90°, whose intervals are 1°,1',1″, respectively. Based on the traditional expanded algorithms, numerical integral algorithms and numerical solution of ordinary differential equations, the corresponding meridian arc length results were calculated and the quality of each numerical algorithm with regard to algorithm accuracy and computation speed were evaluated. The results show that the 3 and 4 order Runge-Kutta algorithm not only have high precision but the computing speed is twice more than other algorithms. This paper provides new, reliable algorithm with high speed for meridian arc length calculation. The results provide an effective algorithm for calculating the meridian arc length.

Discussion on the Geo-spatial Data Visualization Technology of Smart City

YANG Yongchong, LI Liang

2017, 0(8): 110-112,134. doi:10.13474/j.cnki.11-2246.2017.0265

Asbtract ( )

HTML

PDF (1182KB) ( )

References | Related Articles | Metrics

Based on the needs for the smart city and big data era as well as the unique analysis function of maps, the requirements and technical essentials of geospatial information and visualization for the big data era are discussed in detailed. In the period of the smart city construction, it is necessary for the spatial data not only to posses more comprehensive and detailed content, more direct expression and modeling and materialization, but also capable to develop towards the direction of data fusion, which includes the fusion between indoor spatial data and that of outdoor, the intergration between data underground and that of above the surface, the combination between previous data and that of the current as well as future.

Construction of Campus Survey Control Network and Its Application Platform

HUANG He, QIU Dongwei, ZHOU Lejie, ZHOU Mingduan

2017, 0(8): 113-116. doi:10.13474/j.cnki.11-2246.2017.0266

Asbtract ( )

HTML

PDF (1180KB) ( )

References | Related Articles | Metrics

According to the actual needs of surveying and mapping, non-professional practice teaching and the venue requirements of national and municipal mapping skills competition, a standardized campus measurement control network is designed and built based on the specific conditions of the terrain in the new campus. In addition, the system of control point management and application is developed based on panoramic image independently which achieves the rationalization and informationization of the use of campus measurement control network in practice teaching.

The Preliminary Exploration of Integrated Operation for Digital City in Zhejiang Province Based on Cloud Environment

ZHAO Pengcheng

2017, 0(8): 117-120. doi:10.13474/j.cnki.11-2246.2017.0267

Asbtract ( )

HTML

PDF (1113KB) ( )

References | Related Articles | Metrics

With full implementation of digital city in Zhejiang Province, to guarantee the stable operation of digital cities at all levels and solve the technical problems of the current grass-roots operation, this paper proposes the integrated operation model of provincial, city and county digital cities and puts forward the overall framework of operation and maintenance. What's more, the paper discusses the construction of software and data operation and maintenance platform in cloud computing environment, and provides novel ideas for digital city operation and maintenance.

Design and Implementation of Internet Geographic Information Supervision System

HUANG Long, LUO An

2017, 0(8): 121-124,128. doi:10.13474/j.cnki.11-2246.2017.0268

Asbtract ( )

HTML

PDF (1307KB) ( )

References | Related Articles | Metrics

Based on servicing internet geographic information supervision, the internet geographic information supervision system takes C# as the development language, Visual Studio 2010 as the integrated development environment.Through combing and regulating the internet geographic information supervision business process, combined with geographic information vertical search engines and WebGIS,the system achieves mining search, content verification, problem disposal and other functions about geographic information service website, map images and classified geographic information transaction information.The system is an important technical tool to carry out internet geographic information supervision work.It helps to perform duties, and safeguards the geographic information security.

Urban Land Space Evaluation and Early Warning Control System:Design and Implementation

YAO Yao, LUO Tingwen, XIAO Lin, LI Hongga

2017, 0(8): 125-128. doi:10.13474/j.cnki.11-2246.2017.0269

Asbtract ( )

HTML

PDF (1143KB) ( )

References | Related Articles | Metrics

In the background of increasing urban diseases such as the shortage of land resources,it is the key research direction of land resource management that increasing the efficiency of intensive land use.In order to support the intensive use of urban land space resources,the authors developed the urban land space evaluation and early warning control system based on the C#.NET and ArcGIS Engine.This system has realized the functions of land space evaluation,early warning and policy simulation to assist the land resource management.This paper concentrates on the overall needs,structure and the design ideas of this system to provide a reference for land resource management research and related software development.

Study on Topology Model of Urban Drainage GIS System

WANG Meng, SHI Mingchang

2017, 0(8): 129-134. doi:10.13474/j.cnki.11-2246.2017.0270

Asbtract ( )

HTML

PDF (1194KB) ( )

References | Related Articles | Metrics

Current drainage network topology model is too simple to complete the spatial analysis for specific drainage business because of neglecting the details of the drainage network.To some extent,it hinderes the development of the drainage GIS system.Based on graph theory, the detailed topology model of urban drainage GIS system was presented in this paper.Firstly,on the basis of the object oriented method, topological concept model and logical model were put forward, which the detailed rules of the topological relation were increased so as to really simulate the objective world.In the design of data structure,orthogonal list was adopted as a storage structure,and it was also improved as well as linked with R⁺ tree in order to generate spatial index.During spatial analysis designing, the typical algorithm of spatial query and path analysis based on R⁺ index and orthogonal list was presented.With the example for development of Zhenjiang city drainage network geographic information system, the practice was carried out.Experiments show that the topology model proposed in this paper can better simulate the objective world,provide more spatial analysis, realize rapid access to huge data,and make a solution for efficient space analysis of city drainage system GIS that combined with huge data.

Application of ShapeLib in Land Ownership

WANG Baoguo

2017, 0(8): 135-137. doi:10.13474/j.cnki.11-2246.2017.0271

Asbtract ( )

HTML

PDF (1053KB) ( )

References | Related Articles | Metrics

In the contracted management of rural land ownership registration, it uses image analysis of land boundary in the AutoCAD platform, the correctness of the land boundary survey, and verifies the ownership of land information and information in common. In order to ensure the completeness and accuracy of data, the data according to the national standard format conversion to GIS management platform. Convert to GIS data on the AutoCAD platform of the multi segment line, using the Esri C++ library ShapeLib, using.NET language to develop two times, topology check, block line attribute inspection, will be converted to Polygon block line entity shape files, extended attributes into the DBF file, the final generation GIS general ShapeFile file format thus, improve work efficiency, and has a certain practical value.

Innovative Experimental Teaching Reform on the National Level Demonstration Center of Remote Sensing and Information Engineering, Wuhan University

LI Gang

2017, 0(8): 138-141,149. doi:10.13474/j.cnki.11-2246.2017.0272

Asbtract ( )

HTML

PDF (986KB) ( )

References | Related Articles | Metrics

Innovative experimental teaching reform is an important part of construction of experimental teaching demonstration center and plays a significant role in strengthening quality education and cultivating innovative talents. This paper summarizes the reform and construction of innovative experimental teaching in the experimental teaching demonstration center of remote sensing and information engineering of Wuhan University. The experimental teaching reform includes the following aspects:Firstly, the idea of experimental teaching is refined and the experimental teaching system is improved by following the discipline development. Secondly, the multi-mechanism transformation from scientific research to experimental teaching is established and the CDIO mode transformation from engineering application to experimental teaching is realized with the progress of science and technology. Finally, the experimental teaching method is reformed by using the task-driven method, problem-heuristic method and flipped classroom. The reform and innovation of experimental teaching has further promoted the construction and development of the demonstration center.

Reforming and Practicing of Surveying and Mapping Engineering Professional Training Mode Cored with Vocational Capacity

ZHAO Hong, LI Aixia

2017, 0(8): 142-145. doi:10.13474/j.cnki.11-2246.2017.0273

Asbtract ( )

HTML

PDF (1043KB) ( )

References | Related Articles | Metrics

This paper first analyzes the existing problems and ability structures of surveying and mapping professionals in terms of technology development, social demands, and applied-talents training. Then, the paper proposes a novel talent-training pattern called one mainline, two fusions, and three unifications.According to the training pattern, we specify the goal of talent training, and build the curriculum system according to the mainline of vocational capacity training, and establish the practical teaching system following with practical skill training. The proposed training mode is proved to be effective and efficient.

Practice and Thinking of Flipped Classroom Teaching Mode in Geographic Information System Course

WANG Jianmei, WANG Weian

2017, 0(8): 146-149. doi:10.13474/j.cnki.11-2246.2017.0274

Asbtract ( )

HTML

PDF (995KB) ( )

References | Related Articles | Metrics

For the problems of the teacher-leading teaching model, flipped classroom, a new blended teaching model, has been introduced into geographic information system course. Firstly, the necessity and feasibility of this idea are clarified, then the course program is designed based on the characteristics of GIS course and the differences between Chinese and western education system. The practice shows that flipped classroom stimulates the students interest, and improves the teaching quality, but a higher requirement of teachers' professional skills and teaching abilities.

Application of UAV Sirius Pro in Construction of High-speed Rail

BAI Zhiyong, DU Junwei

2017, 0(8): 156-157.

Asbtract ( )

HTML

PDF (1090KB) ( )

Table of Content