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Table of Content

    25 July 2018, Volume 0 Issue 7
    Improvement on the Positioning Accuracy of Ultra-short Baseline System Based on Data Fusion
    HUANG Jian, YAN Shenggang
    2018, 0(7):  1-4.  doi:10.13474/j.cnki.11-2246.2018.0198
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    Ultra-short baseline (USBL) system is a commonly used underwater acoustic positioning system,but its positioning accuracy is limited by its small diameter and the design of array formation.A method to improve the positioning accuracy of USBL system is presented.The USBL system only measures the propagation time of acoustic signal once,locates the target through the basic arrays,and then acts data fusion on the valuable positioning results to obtain the final result.The simulation results show that the proposed method can effectively improve the reliability and positioning accuracy of the USBL system under low SNR.
    Remote Sensing Images Super-resolution Reconstruction Based on Bayesian Nonparametric Dictionary Learning
    LI Li, SUI Lichun, KANG Junmei, WANG Xue
    2018, 0(7):  5-8,12.  doi:10.13474/j.cnki.11-2246.2018.0199
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    Aiming at taking advantage of the prior information of the samples and the parameters,a single remote sensing image super-resolution method based on nonparametric Bayesian dictionary learning is proposed,modified on the sparse representation algorithm presented by Yang.The Beta-Bernoulli process was used to learn the dictionary,establishing the probability distribution models of dictionary elements and parameters,and the stationary distribution of the Markov chain obtained by Gibbs iteration sampling was used to approximate their posterior.Finally,the related high resolution images were reconstructed by the posterior and the low resolution images.Compared with the bilinear,the bicubic and the super-resolution algorithm based on sparse representation, the average peak signal-to-noise ratio obtained using the method presented in this paper were increased by 3.29,1.79, 0.17 dB,respectively.the average ERGAS were decreased by 0.78, 0.37, 0.02 dB,respectively.Because of more prior added,the reconstruction image produced using the proposed method could provide more high frequency details,performing universally.
    Analysis of Coherence Effected by Baseline and Time Interval
    GUO Leping, YUE Jianping
    2018, 0(7):  9-12.  doi:10.13474/j.cnki.11-2246.2018.0200
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    The baseline length is the basis of interferometric synthetic aperture radar (InSAR).The study of the relationship between baseline and coherence has important reference value for the choice of interference image pairs.A combination of theoretical analysis and simulation experiment is adopted.The influence of temporal and spatial baselines on coherence is analyzed theoretically,and the model relationship between spatio-temporal baseline and coherence is established by simulation experiment.And 16 groups of data selected randomly are used to validate the model.The results show that the time baseline and the spatial baseline have inverse power function relation with the coherence respectively,and the spatio-temporal baseline model established in this paper is very close to the software module,the correlation coefficient is as high as 0.92,which shows that the model in this paper is reasonable,and it can be used as reference for selection of interference image.
    Monitoring of Waterlogging Stress Disaster of Ecological Restoration Forest Using High Resolution Remote Sensing Data in the Datong Abandoned Coal Mine
    WANG Nan, WANG Guisheng, ZHANG Zhen
    2018, 0(7):  13-17,47.  doi:10.13474/j.cnki.11-2246.2018.0201
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    Restoration is one of the most effective methods for ecological restoration in abandoned mining area.The flooding stress caused by surface subsidence will have an important impact on the normal growth of vegetation in the mining area,and then will affect the ecological restoration effect of the whole mining area.In order to obtain the information of waterlogging region and ecological restoration forest which have been affected by the waterlogging stress in the Datong abandoned mining area,the waterlogging area,and the tree species of restoration forest as well as the area are extracted using WorldView-3 combining with field surveying data.The results indicated that the total affected area is 31 570 m2.The affected area of the Populus adenopoda is 11 930 m2,accounting for 37.8% of the total affected area.According to the field verification,all the Populus adenopoda are damaged by flooding stress in the surface seepage area.The research result could provide reference for the eco-environment monitoring work in the abandoned coal mine.

    Recent Advances of Large Gradient Deformation Monitoring in the Mining Area Combined with InSAR
    CHEN Lei, ZHAO Xuesheng
    2018, 0(7):  18-23.  doi:10.13474/j.cnki.11-2246.2018.0202
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    Synthetic aperture radar interferometry (InSAR) technique has been widely used to monitor the ground deformation induced by coal mining and achieve accurately small deformation with the phase information of SAR images in study area.However,the large gradient deformation can't be extracted and several new techniques are introduced to solve when the decorrelation caused by large deformation and the interference fringe can't be effectively achieved.In this paper,several technologies combined with InSAR used to achieve the large gradient deformation induced by coal mining are analyzed and their disadvantages are summarized through the literature.Finally we propose some suggestions about the study in the future.
    Study on the Relationship between the Aerial Survey Accuracy of Rotor Unmanned Aerial Vehicle and the Number of Control Points in Industrial Zones
    ZHAO Yanling, TIAN Shuaishuai, ZHANG Jianyong, WANG Xin, YAN Haoyue, ZHANG Shuo
    2018, 0(7):  24-28.  doi:10.13474/j.cnki.11-2246.2018.0203
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    In view of the complexity of the topography and surface features of industrial areas,and the inconvenience of the control point setting,the paper presents a method to study the relationship between the number of control points and the photogrammetric mapping accuracy in order to obtain the most accurate photogrammetric results with as few control points as possible.Taking the aerial photography of rotor unmanned aerial vehicle above a coal mine in Shandong province as an example,the flight height is set at 100 m,images of 245 spots taken,9 levels of the control point number,3,5,7,9,11,13,15,17 and 19,designed,and a reference group arranged to eliminate the error by the control point setting scheme.The analysis reflects that the result accuracy rises in direct proportion to the number of control points.When the control points are increased to 11,the vertical accuracy will reach a maximum and so will the horizontal accuracy if the number is 15.Therefore,this paper provides reference to the choice of the control point number for UAV photogrammetry in similar cases in future.
    Application of Polarization Characteristic Combination in ALOS PALSAR Data Classification
    JIA Shichao, XUE Dongjian, LI Chengrao
    2018, 0(7):  29-33,47.  doi:10.13474/j.cnki.11-2246.2018.0204
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    Polarimetric SAR image classification is one of the hots pots in the field of remote sensing,which provides a new means for information acquisition and classification of objects.In this paper,support vector machine (SVM) is used to classify ALOS PALSAR polarized data in Pengzhou petrochemical area,Sichuan province.In the experiment,the total power of polarization is firstly obtained,then the Cloude-Pottier polarization is decomposed,and then the feature parameters,Shannon entropy and radar vegetation index are extracted based on the eigenvalues of the coherent matrix.The SVM classification of the images is carried out by combining these polarimetric features,and compared with the SVM classification based on Freeman-Durden polarization decomposition and Wishart supervised classification.The experimental results show that the polarization characteristic combined with the information is complementary and the classification result is better,the Kappa coefficient is 97.14%,and the Kappa coefficient of the other two methods increased by 5.26% and 27.20%,respectively.
    A Method of Matching Names of Chang'e Ⅱ CCD Image
    LI Sheng, ZHAN Liang, TANG Zhonglin
    2018, 0(7):  34-37,57.  doi:10.13474/j.cnki.11-2246.2018.0205
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    To meet the problem of the inherent characteristics of the Chang-e Ⅱ CCD stereo camera data,this article advances a matching method based on Laplacian and Gray matching to match corresponding points automaticly.It solves the problem of lunar image's matching difficult which caused by its particularity,and provides a reliable technical scheme for matching the same name of the lunar image.
    Study of UAV Image Matching Based on SURF Algorithm and Homography Matrix
    WANG Xiaohong, DENG Shixiong, HE Zhiwei, CAO Liuxia, YAN Xingguang
    2018, 0(7):  38-42.  doi:10.13474/j.cnki.11-2246.2018.0206
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    For unmanned aerial vehicle (UAV) video shooting conditions,or by the regional complex environment caused by matching the effect not beautiful,local area can't even match,this article proposes an improved algorithm using multiple constraints of UAV image feature matching based on SURF algorithm.The matching algorithm firstly uses SURF algorithm to detect image feature points,uses FLANN fast search algorithm combined with the feature of KNN algorithm screening point to select the structure one interior point matrix of the optimal matching of,then uses RANSAC algorithm based on single matrix to filter mismatch.The experimental results show that with a single constraint conditions based on SURF algorithm compared to the UAV image matching,UAV image matching algorithm of multiple constraints in optimization matching quality at the same time can improve the UAV image matching set number,under the premise of the algorithm in matching error reduce can obtain more accurate feature points.
    Accuracy Analysis of Baidu Map's Coordinates Decryption Methods
    YANG Dingliang, LIU Zhiping, ZHONG Chongwu
    2018, 0(7):  43-47.  doi:10.13474/j.cnki.11-2246.2018.0207
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    This paper introduces three Baidu decryption methods including equivalent offset coordinate method,grid method and BP neural network.In addition,the general difference formula is obtained based on equivalent offset method.The cities of Urumqi,Lhasa,Lanzhou,Beijing,Shanghai and Sansha are selected to build the 0.1 degree square research area with each city center.The predicted WGS-84 coordinates translated by those methods are compared with the references to analysis the difference of the latitude and longitude and the positional error distribution.And the experimental results show that the coordinate decryption accuracy are about 10 m,20 m,50 m,and 100 m respectively.Simultaneously,it also researches the differences of calculating distance and area by Baidu online tools and the first-order and two-order equivalent offset difference method respectively.
    A Level Constraints Removed Algorithm for Avoiding Crack in Massive 3D Terrain
    LIU Zhendong, LI Chengming, WU Pengda, LIU Po
    2018, 0(7):  48-52.  doi:10.13474/j.cnki.11-2246.2018.0208
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    Massive three-dimensional(3D) terrain real-time rendering technology is one of the core technology and difficulties for 3D visualization system. Aiming at the problems of strong tile level constraint and low rendering efficiency which exist in traditional methods, this paper presents a new level constraints removed algorithm to avoid the crack in massive 3D terrain. Firstly, it builds a multi resolution representation structure of quad-tree terrain including terrain tile corner and edge neighbor relationship. Then the split or merged state for the nodes of quad-tree is updated dynamicly on the basis of LoD control rule. Finally, the linear interpolation algorithm is used to modify the tile elevation of neighbor relations in quad-tree to eliminate terrain cracks. The experiment on massive mountainous terrain data shows that the algorithms we proposed are effective and efficient.
    Road Extraction Based on Taxi Trajectory Data
    HU Han, XIANG Longgang, WANG Dehao
    2018, 0(7):  53-57.  doi:10.13474/j.cnki.11-2246.2018.0209
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    Relative to high frequency GPS trajectory data,low frequency GPS trajectory data has the advantages of large amount of data,easy access,low cost and so on.For this reason,a method of road information extraction based on a large number of low frequency trajectory data is proposed.The road image method with mathematical morphology and refinement method for rasterizing extraction line and cross road center port,then the Douglas-Peucker algorithm of intersection between the sections of simplification and smoothing,finally get the road information.Among them,the method of multi-resolution image fusion is used to extract the intersection as much as possible.Experiments show that this method in a certain extent overcome interval is not fixed,low positioning accuracy,noise and uneven distribution of defects of low frequency data sampling trajectory data,extract the road intersection and the center line more accurate.
    Monitoring the Freeboard of the Drift Ice in the Bohai Sea Using the Cross-InSAR Technique with High-resolution TSX/TDX Data
    WANG Zhiyong, ZHANG Xi, WANG Shishuai
    2018, 0(7):  58-61.  doi:10.13474/j.cnki.11-2246.2018.0210
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    The cross-track interferometry with high-resolution TSX/TDX data was used to detect the freeboard of the drift ice in the Bohai sea.The principle and data processing of measuring the sea ice using the cross-track InSAR were presented.Then the TSX/TDX cross-track interferometric data with high resolution were used to detect the drift ice in Bohai.A sea ice retrieval algorithm through the use of the phase information from the cross-track InSAR technique.Taking the surface of the sea lead as a reference surface,the sea ice freeboard was retrieved from the interferometric phase.Through the test,we found that the freeboard of drift ice in the Bohai sea range from 1.01 cm to 3.06 cm.And the average thickness was 2.376 cm.The experimental results show that the cross-track InSAR technique with high resolution is an effective means to retrieve the freeboard of the sea ice.
    The Method for Measuring Parameters of the High-speed Bilateral Observation Digital Level and Staff
    LIU Yanchun, WANG Haiting, ZHAO Junsheng, MENG Qiang, LIU Yao, WU Xianghua
    2018, 0(7):  62-66,91.  doi:10.13474/j.cnki.11-2246.2018.0211
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    In view of the characteristics of new high-speed bilateral observation digital level and staff(HSBODLS),the principle and method of measuring parameters both collimation axis height and angle i for HSBODLS are put forward based on the exchange measurement concept.The method of independent determination and non independent determination of collimation axis height and angle i are discussed in detail.The parameter equations and formulas are derived.Theoretical analysis and practical calculation show that non independent determination method for collimation axis height and angle i is more general and can be used as a standard determination method.At the same time,in practice,this paper holds that combined application of non independent determination method and independent determination method may be the best choice.Non independent determination method should be used when HSBODLS is installed initially and independent determination method should be used when the instrument height has been determined and unchanged in order to save time of measurement.

    Research on Representation Method of Important Geographic Information on Public Map
    ZHOU Xinwei, HAN Quanwei, CHU Xuemei, TONG Yun, LIU Xiaohui
    2018, 0(7):  67-70.  doi:10.13474/j.cnki.11-2246.2018.0212
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    The representation of important geographic information on public map is related to national security,territorial integrity and national dignity,which has serious political nature,rigorous scientific nature and strict legality.This paper summarized the basic principles of the representation of important geographic information on public map,classified important geographic information into four categories:geographic information related to national territory,geographic information related to national boundaries,important geographic information data and public safety facilities information.Then,it researched and analyzed representation method of some important geographical information which is easy to make mistakes from each category.Finally,the author put forward representation method of important geographic on public map for reference.
    Quality Inspection Tasks Facing New Fundamental Surveying and Mapping
    ZHANG Jixian, ZHANG Li, ZHANG He
    2018, 0(7):  71-73,87.  doi:10.13474/j.cnki.11-2246.2018.0213
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    The national fundamental surveying and mapping program for medium and long term (2015-2030 years) points out development goals and the main task of the new fundamental surveying and mapping. As an important part of fundamental surveying and mapping, quality inspection of surveying,mapping and geoinformation is facing the opportunities and challenges of the situation. According to the characteristics of the new fundamental surveying and mapping "global coverage, both land and sea, updating, on-demand services, open sharing", this paper analyzes the opportunities and challenges faced in the premise of quality inspection, indicates direction of transformation development and main task, and puts forward to enhance the ability to lead the development as the goal. A bold attempt and useful exploration from standard construction, technological innovation and institutional mechanisms are made to meet new opportunities and meet new challenges.
    Research on Coordinate Transformation from Local Plane Coordinate System to CGCS2000 Based on Plane Four Parameter Model
    ZHANG Haitao, JI Min
    2018, 0(7):  74-77,91.  doi:10.13474/j.cnki.11-2246.2018.0214
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    Based on current results in Yangjiang,the paper has discussed the optimal approach of 2 dimensional and 4 parameters coordinate transform from city system to China Geodetic Coordinate System 2000.Focusing on density of common points and its impact on transform,our research has found that transform error is increased with the increase of gaps among common points,but the error can remain within 5 cm when the gaps are less than 60 km.Considering the linear and parallel differences between two corrdinate systems,we can remove common points with blunders and achieve optimal results,which is especially usefull for transform of old,unsteady and degrading network regions.
    Plastic-mulched Farmland Extraction with Multi-source Satellite Data
    LI Jiayu, WANG Huabin, WANG Guanghui, ZHAI Haoran, HAN Min, CHENG Qian
    2018, 0(7):  78-82.  doi:10.13474/j.cnki.11-2246.2018.0215
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    The rapid development of agricultural productivity has been driven by the extensive use of plastic-mulched farmland (PMF).With the increase of PMF usage year by year,its influence on environment cannot be ignored.Remote sensing image classification is an important method for PMF monitoring.Based on FSO feature selection and object-oriented random forest classification method,several sets of experimental schemes were designed using the characteristics of spectrum,geometry and texture,etc.PMF extraction was carried out in the middle area of Gansu province with the sharpening image of ZY-3 and Landsat 8 OLI data.The experimental results show that the extraction accuracy of multi-feature sharpening method is higher than that of single-feature extraction method. The overall accuracy and Kappa coefficients of the experimental scheme using FSO feature optimization are 90.2% and 0.877,respectively,which is obviously higher than other schemes.It indicates that the feature interference is decreased by the feature optimization method while feature space dimension is reduced,and the classification accuracy is improved.
    A Multi-slice Mapping Technique Based on Oblique Images
    LI Dajun, SUN Tao, GUO Bingxuan, NIU Keke, LIANG Yuegang
    2018, 0(7):  83-87.  doi:10.13474/j.cnki.11-2246.2018.0216
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    In recent years,the use of UAV aerial photography for three-dimensional mapping technology has become a hot research.In view of the fact that there are some problems of poor robustness and stability due to the lack of observational redundancy,the small base height ratio,the intersection angle badness,the traditional method of stereo mapping is proposed.The method is not susceptible to the size of the intersection angle.With the use of two-dimensional forward intersection,while the introduction of the least squares principle,you can get a higher accuracy of the coordinates of the object,and thus improve the UAV aerial scale accuracy.Using the UAV aerial image data,the proposed method is experimentally demonstrated.At the scale of 1:500,the experimental results show that the error in the plane is 0.054 9 m.The accuracy of the proposed method is better.
    A Method of Aerial Photography Division of Unmanned Aerial Vehicle Considering Space Relations and Flight Safety
    GUO Tongying, LIU Xiaolong, MENG Peipei
    2018, 0(7):  88-91.  doi:10.13474/j.cnki.11-2246.2018.0217
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    The traditional basic surveying and mapping large aircraft aerial photography specifications require to divide with different national basic scale as a unit,and partition height not exceed 1/3 airlines,overrun area of not more than 5%.These requirements for large aircraft can be achieved,but it is difficult to achieve for unmanned aerial vehicle(UAV) flight with low altitude (below one thousand meters) and height difference more stringent requirements,and also take into account the flight safety,so the partition more fragmentary,usually a square kilometers as many as a dozen partition.This paper puts forward the aerial zoning algorithm taking into account the space relationship and flight safety.It can effectively merge the piecemeal zoning and ensure flight safety,basically reaching 2 sub districts of each square kilometre,so as to meet UAV flight requirements.
    A Relative Orientation Method for Landing Sequence Images
    JI Yang
    2018, 0(7):  92-96.  doi:10.13474/j.cnki.11-2246.2018.0218
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    According to the problem that traditional relative orientation method is not suitable for the landing sequence images,a relative orientation method suitable for the the landing sequence images is proposed,when the baseline and the camera optical axis is consistent.Firstly,according to the geometric model of the landing images,the relative orientation elements are determined,and a new relative directional solution model is constructed.Then,the scale changes of the two images are calculated based on the matching line formed by the SIFT feature matching points,and the scale of the two images is unified.After that the initial values of 4 relative directional elements are calculated according to the coordinate change of the matching points.Finally,the relative orientation process is completed by least square iteration.Experiments were carried out using ground simulated images and Chang'e three landing images.The results show that the proposed method can better achieve the relative orientation of the landing sequence image,and has better accuracy and reliability.
    On Surveying and Mapping for Urban Underground Space and Its Standardization
    WANG Dan, GENG Dan, JIANG Yifang
    2018, 0(7):  97-100.  doi:10.13474/j.cnki.11-2246.2018.0219
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    The development of utilization of urban underground space is very rapid now in China.The spatial and attribute information about underground space and facilities would be absolutely necessary to develop and use underground space.Surveying and geographic information services are facing new opportunities.And then the standardization of technical requirements in respects of temporal-spatial datum,control surveying,investigation and mapping,three-dimensional modelling,data management and quality control in surveying and mapping for underground space becomes essential.This paper analyzes the demands and characteristics of the surveying and mapping for urban underground space,and emphatically introduces the background,compiling process,overall structure,main contents and application prospects of the newly released national standard,the Specification of Surveying and Mapping for Urban Underground Space (GB/T 35636-2017).
    Design and Implementation of Underground Pipe Network 3D Visualization Platform
    ZHANG Fang, WU Si, CHEN Yong, ZHANG Jinhua, DU Kai
    2018, 0(7):  101-105,125.  doi:10.13474/j.cnki.11-2246.2018.0220
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    3D visualization can effectively describe and express intricate underground pipe networks.In view of the current three-dimensional visualization of underground pipe network,the software platform research and development mostly base on Skyline platform,which is very expensive and inefficient on data loading and display.This paper designs and develops the pipe network visualization platform based on open source 3D graphics rendering engine OSG,which not only can save the cost of purchasing the base platform effectively,but also can display the 3D underground pipe network and multi-source data efficiently.The platform has abundant pipe network analysis functions as well.It will has significant economic benefits and practical promotion value in the field of 3D visualization of underground pipe network.
    Retrieving Soil Moisture Using Signal-to-noise Ratio of GPS Signal by Assisted Machine Learning Algorithm
    FENG Qiulin, ZHENG Nanshan
    2018, 0(7):  106-111.  doi:10.13474/j.cnki.11-2246.2018.0221
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    We construct the soil moisture retrieval model of GNSS satellite reflection signal based on machine learning algorithm with the use of BP neural network and support vector machine,and compared with the linear regression statistical model and the measured data.The results show that the error between soil moisture prediction of retrieval model based on the regression algorithm and reference value of soil moisture is small,the determination coefficient are 0.928 3 and 0.913 1,respectively,the root mean square error are 0.026 6 and 0.032 0,and the determination coefficient of the linear regression statistic model are 0.553 8 and 0.859 2,respectively,the root mean square error are 0.093 9 and 0.041 6.Those demonstrates that the quantitative estimates of soil moisture by using regression algorithm is better than the linear regression model,and the soil moisture retrieval model based on support vector regression is superior to the soil moisture retrieval model based on BP neural network algorithm,which proves the reliability of the method and provides a new method for real-time retrieval of soil moisture.
    Research on Spatialization of Crowdsourcing Contingency Geographic Information Based on K-means Algorithm
    YANG Bo, WANG Jizhou, MAO Xi, MA Weijun
    2018, 0(7):  112-115.  doi:10.13474/j.cnki.11-2246.2018.0222
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    This paper analyzes the shortcomings of the common spatialization way in the crowdsourcing emergency geographical information extraction.It puts forward the consideration of geographical info interspace based on the sourcing contingency events.K-means algorithm is used to solve the problem that the map service cannot extract the multi-sourcing affairs' spatial material.The spatial circumstance combines the advantages of attribute data and geography.This method carries out the optimal hazard trouble identification and storage.It makes the surveying and mapping better serve the society and the nation more closely related to people.With the geospatial cognitive model,this essay can discuss the spatial relations of toponomy in more specific aspects.This provides a guarantee of data quality for the next step in the visualization of the outburst geographic accident.Trial runs results show that the space of breakthrough geoscience's mishap not only can draw the Chinese placename data,but also identify non-Chinese country.The measure also offers a reference to other relevant areas of research.The study can supply more accurate spatial geonomy's malfunction needs for flying into disaster relief departments.They get to the source of the breaking out record displayed on the plat accurately.
    Application of GeoSOS on Urban Expansion
    MA Jing, XU Yue, FENG Yunfei, WANG Qingmei
    2018, 0(7):  116-120.  doi:10.13474/j.cnki.11-2246.2018.0223
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    Urban expansion is a complex spatiotemporal conversion process.Cellular automaton (CA) is a grid dynamic with features including spatiotemporal discrete and state concise,using simple local rules to simulate the spatiotemporal evolution process of the complex systems.CA has many advantages in characterizing urban growth,expansion and simulating land-use evolution.Based on the GeoSOS on ArcGIS platform,this paper simulated the urban expansion of Changchun city during 1995-2005 and 2005-2015 by using Logistic-CA,ANN-CA,and DT-CA model,respectively.The results indicate that Logistic-CA and DT-CA models are more suitable for simulating individual land-use type,ANN-CA is better to simulate land-use evolution involving multiple land-use types.Then,we use the DT-CA model,which performs best overall,to predict the urban expansion of Changchun city during 2015-2025.The simulation results can provide valuable reference information and useful data in making macro decisions and in planning land-use by government agencies.
    Research on the Integrated Operational Monitoring Mode for Geographic Information Public Service Platforms of Digital City Oriented to Provinces, Cities and Counties
    DENG Yi, WANG Zhihui, ZHANG Shuliang
    2018, 0(7):  121-125.  doi:10.13474/j.cnki.11-2246.2018.0224
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    This paper analyzed the status and problems of operational monitoring towards the current geographic information public service platform,put forward the monitoring mode of integrated operation and maintenance oriented to provinces,cities and counties,and elaborated the three-tier architecture of provincial-level comprehensive operation and maintenance,city-level centralized operation and maintenance,and county-level independent operation and maintenance. In the erd, it put the integrated operational monitoring mode into system application ultimately.
    Discussion of the Spatial Planning Map Data Compilation and Database Construction
    ZHENG Zhihong
    2018, 0(7):  126-128.  doi:10.13474/j.cnki.11-2246.2018.0225
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    To carry out the space planning of multi-regulation,it can effectively solve the progarmme contrafictions,unified standards,information sharing and other issues.And building a spatial planning system that unified,interlinked,hierarchical-management in the entire province,as well as,laying the foundation for a sound coordination mechanism. According to "Guidance on the technical specifications and preparation of the overall planning of economic and social development in cities and counties (Trial)",we briefly described the technical problems in the production process of spatial planning map,such as data preprocessing,obtaining the negative inventory data in the spatial development process,classification of surface coverage,extraction of construction or transition regions,etc.Furthermore,we discussed the relevant thinking from the perspective of spatial dimension for future construction of spatial planning database.
    Analysis of Guangdong Province Surveying and Mapping Geographic Information Supervision and Service Platform
    ZHONG Yuanjun, WAN Baolin, WANG Dandan, XIE Gangsheng
    2018, 0(7):  129-132,140.  doi:10.13474/j.cnki.11-2246.2018.0226
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    This paper aimed at the problem of surveying and mapping geographic information supervision and service.By combing the surveying and mapping supervision and service process,based on the computer network,database and 3S technology,and with the support of the digital Guangdong geospatial framework,the integration of massive,distributed geographic information resources,a service oriented architecture (SOA) software platform was designed and developed according to the idea of graphic management. Further more,Guangdong province surveying and mapping geographic information supervision and service platform was established,which has provincial,city and county three level interoperability.
    Key Technologies Analysis for Improving Vertical Accuracy Based on Non-metric Digital Camera
    ZHUANG Liyou, FANG Detao, LIU Shanshan, XU Chan
    2018, 0(7):  133-136.  doi:10.13474/j.cnki.11-2246.2018.0227
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    The UAV platform can only be equipped with non-metric digital camera that has large lens distortion,and can not be equipped with high precision GNSS/IMU system,while the UAV flight attitude is not stable,which has led to the low vertical accuracy of UAV aerial photography.To solve the above problems,this paper corrects image distortion through the experiment in GPS-supported aerial triangulation presents that camera calibration, and obtains the more accurate coordinates of the center of camera station by using differential GPS, and increases image overlap and improve the stability of the model by controling strips.The experimental results show that the camera calibration,differential GPS and control strip can not only improve the vertical accuracy of GPS-supported bundle adjustment,but also can effectively reduce the number of the ground control point.It has more reference value for belt topographic map.
    Modular Reconstruction of Spatial Analysis Courses for Individualized Talent Training
    YU Yan, LIU Yaolin, YUAN Yanbin, HUANG Jiejun, HE Jianhua
    2018, 0(7):  137-140.  doi:10.13474/j.cnki.11-2246.2018.0228
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    Network teaching and individualized talent training require the knowledge hierarchy of university courses to be organized in a multithreaded and modularized way.Taking spatial analysis course,one of the core courses in GIS specialty, as an example,this paper studied the updating of knowledge contents and the division of knowledge points of spatial analysis course,and sorted out the logical link between spatial analysis course and other specialized courses,as well as its internal knowledge points.This paper updated and reconstructed the modular structural system of spatial analysis curriculum knowledge from the perspective of GIS specialty curriculum system and spatial analysis course knowledge system,which will be helpful for teachers to design spatial analysis online course and provide guidance for the construction of students' individualized knowledge chain.
    Establishment of the System and Model for the Professional Development Performance Evaluation of Geomatics Teachers Under the Construction of “Double First-Class”
    HUANG Liangke, HUANG Junsheng, WANG Haoyu, LIU Lilong, LI Junyu
    2018, 0(7):  141-145.  doi:10.13474/j.cnki.11-2246.2018.0229
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    This paper,taking the geomatics teachers as an example,explores the establishment of system and model for teacher professional development performance assessment under the construction of "Double First-Class".Based on the principles of goal-oriented,professional othemess,system scientificalness,and dynamic adaptability,this paper constructs a performance evaluation system for professional development of geomatics teachers by modifying selection through factor analysis.Finally,an evaluation model is developed using the hierarchy analytic method to determine weights.The results can provide experience for the relevant theories and practices of professional development of geomatics teachers.
    Research on Geographic Information Professional Capacity Building in New Era
    DONG Mali, YI Shubai, ZENG Chenxi, ZHU Yan
    2018, 0(7):  146-148,159.  doi:10.13474/j.cnki.11-2246.2018.0230
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    Geographic information professional capacity building is of vital importance to industry development in the field.Based on national geographic vacation system,this paper concludes that capacity building is actively demanded while the rapid vocational growth of geographic information industry.This paper builds geographic information professions working context frame and competency model with the conclusions that service consciousness,information process analysis,Comprehensive knowledge application and research management are important to capacity building in the field.Capacity building approaches are also advised in the end.
    Application of 3D Laser Scanning Technology in the Survey of the Completion of the Special Shape Building
    WANG Zhi, XUE Huiyan
    2018, 0(7):  149-152.  doi:10.13474/j.cnki.11-2246.2018.0231
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    The acquisition of traditional surveying and mapping instruments such as total station and GNSS receiver is a single point survey mode.It is difficult to fully reflect the spatial variation of irregular curves by surveying the completion of special-shaped buildings.Taking Qingdao Expo theme Pavilion as an example,a 3D laser scanner is proposed as the data acquisition equipment for the completion of construction survey.The point cloud data collected by different survey stations are stitched together in the local absolute coordinate system,and the line drawing of the designated section is extracted according to the needs of the plan completion and acceptance.This method can not only fully reflect the spatial shape of special-shaped buildings,but also can model the 3D point cloud data and make 3D roaming scenes to assist the completion and acceptance of the planning.
    Application of Trimble SX10 Terrestrial Laser Scanner in Railway Worksite Surveying
    CAO Siyu, CAO Chengdu, LI Hailiang
    2018, 0(7):  153-155.  doi:10.13474/j.cnki.11-2246.2018.0232
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    In view of the low efficiency and high safety risks of surveying the railway siteby using conventional methods such as GPS and total stations,this paper proposes a ground-based laser radar technology for the survey of railway worksites, takes a new generation of ground laser scanner Trimble SX10 as an example,and designs the work plan and process for site survey.The engineering application shows that ground-based laser radar technology can provide high-precision,high-quality three-dimensional topographic maps,sections,and poor geological survey results for railway survey and design.It can greatly improve the operational efficiency,quality of results,and safety factor of the railway site survey.
    Application of 3D Laser Scanning Technology in Building Facade Measurement
    PENG Jinsong, YE Bo, LI Juan, ZHOU Guangming
    2018, 0(7):  156-159.  doi:10.13474/j.cnki.11-2246.2018.0233
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    This paper introduces the problems of the low efficiency and difficulty in drawing complex building contours based on the traditional means of facade measurement.Firstly,the technical process of building facade measurement based on 3D laser scanner is discussed.Then,the data collection,internal processing methods and matters needing attention in the operation process are expounded with a real case in Xiamen.Finally,the advantages of 3D laser technology in building facade measurement are summarized.
    Comparison Between the Sirius System of No Image Control Point and Inpho System in Post-processing of UAV Remote Sensing Data
    WANG Xiaolong, CHEN Wenxin, AO Zhuangzhe, LEI Shangbin
    2018, 0(7):  160-163.  doi:10.13474/j.cnki.11-2246.2018.0234
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    Aiming at the problems of low efficiency and complex process of internal and external work of traditional UAV aerial,the comparison between the Sirius system of no image control point and Inpho system in UAV remote sensing data post-processing is made,and the results of DOM and DEM outputs are compared. The following conclusions are obtained that the Sirius system of no image control point than Inpho system has no image control points,internal industry does not need to join the control point,highly automated one-click processing and other advantages,the efficiency of the operation is greatly improved. The Sirius system of no image control point than Inpho system can meet the requirements of 1:500 aerial photogrammetry precision when processing 1:500 UAV remote sensing image data,and the precision of Sirius system of no image control point is better than that of Inpho system.The errors of DOM and DEM in the production of Sirius air system were 0.043 1 m and 0.084 3 m respectively,the errors of DOM and DEM in the production of Inpho system were 0.052 6 m and 0.158 6 m respectively.