Table of Content

25 March 2018, Volume 0 Issue 3

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Development Status and Tendency of Navigation Satellite Antenna Phase Center Correction Calibration

LIU Weiping, HAO Jinming, DENG Ke

2018, 0(3):  1-8.  doi:10.13474/j.cnki.11-2246.2018.0066

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Phase center correction of satellite antenna is an important error resource of GNSS precise positioning,so it is needed to be calibrated in practice.With the development of BeiDou navigation satellite system (BDS),how to calibrate phase center correction of satellite antenna should be focused on.Different kinds of satellite antenna from different navigation systems are introduced in this paper.The history and present status of calibration methods are summarized.And the development tendency is present.The research is useful to satellite antenna phase center correction calibration of BDS.

Research on BDS/GPS/GLONASS RTK Location Algorithm

WANG Yixi, BI Jinzhong, XU Yantian, WANG Duo

2018, 0(3):  9-13.  doi:10.13474/j.cnki.11-2246.2018.0067

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In this paper,the BDS/GPS/GLONASS three-system RTK mapping algorithm is introduced.The mathematical model of BDS/GPS/GLONASS three-system RTK is introduced,which solves the problem of uniformity of time-space reference for multi-mode fusion navigation and positioning.A method of determining the Kalman filter parameters in real-time dynamic location is proposed.The BDS/GPS/GLONASS RTK localization program is compiled and the 28 m ultrashort baseline and 31 km short baseline data are calculated.The positioning results of BDS,GPS,GLONASS,BDS/GPS,BDS/GLONASS,GPS/GLONASS,BDS/GPS/GLONASS are analyzed and compared.

An Empirical Tropospheric Delay Model Based on SARIMA

LIU Zhongliu, REN Chao, GAN Xiangqian, LIANG Chunli

2018, 0(3):  14-17,31.  doi:10.13474/j.cnki.11-2246.2018.0068

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In order to reduce the effect of tropospheric delay and improve the positioning accuracy of GNSS,this paper discusses the possibility of using the prediction model to calculate tropospheric delay in the absence of meteorological parameters,and an empirical tropospheric delay prediction model is proposed:a tropospheric delay prediction method based on the seasonal autoregressive integrated moving average model (SARIMA).Combined with Changchun and Shanghai ZTD data to predict and analyze,the results show that the ZTD forecasting model based on SARIMA can meet the ZTD calculation demand at different time in different regions,and it is a kind of high precision ZTD forecasting method.

SLAM Technology and Its Application in Surveying and Mapping

HUANG He, TONG Guofeng, XIA Liang, LI Yong, YUE Xiaoyang, JIANG Bin

2018, 0(3):  18-24.  doi:10.13474/j.cnki.11-2246.2018.0069

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In recent years,robots have a wide range of applications in all industries.Simultaneous localization and mapping (SLAM) is one of the key technologies in the field of robots.Based on the SLAM technology,three-dimensional reconstruction of the visual information and LiDAR data can be carried out.These three-dimensional models and maps have a wide range of applications in the field of surveying and mapping.Especially the more accurate three-dimensional model data,it is significance for accurate measurement and high-precision navigation.However,the discussions of SLAM technology in the field of surveying and mapping applications are still relatively little,most of the field in the robot were reviewed,currently.Therefore,this paper discusses the development and principle of SLAM technology and its application in the field of surveying and mapping from the perspective of surveying and mapping,and expands the application prospect of SLAM technology in the field of surveying and mapping.Then important references are provided for domestic and foreign researchers in surveying and mapping and robotics.

Unsupervised Remote Sensing Image Change Detection Based on Fusion and IFLICM Algorithm

YAN Yu, LIU Yaolin

2018, 0(3):  25-31.  doi:10.13474/j.cnki.11-2246.2018.0070

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A new method based on multiscale wavelet fusion and improved unsupervised fuzzy clustering algorithm for multispectral remote sensing image change detection is proposed.This algorithm solves the problems that many state of arts algorithms causing too much noise,and failing to fully exploit the spatial relationship between pixels.Firstly,the difference image is constructed by the method of two-dimensional discrete wavelet transform (DWT) multi-scale decomposition,so the speckle noise is constrained and the changed regions are highlighted by fusing two wavelet decomposition coefficients.Next,Considering the spatial neighborhood information of pixels,the improved fuzzy local information clustering (IFLICM) method is implemented to get the result of the change detection on the basis of fusion image.Experiments on multi-temporal images show that the image fusion strategy integrates the advantages of CVA and ADI images and gains a better performance.The change detection results obtained by the improved fuzzy clustering algorithm exhibited lower error than other clustering algorithms.

Application of GBGWR Model in Spatial Distribution Simulation of Precipitation

DENG Yue, LIU Yang, LIU Jiping, XU Shenghua, LUO An

2018, 0(3):  32-37,42.  doi:10.13474/j.cnki.11-2246.2018.0071

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In recent years,most parts of China were repeatedly attacked by natural disasters,such as floods and droughts.Therefore,it is of great significance to carry out spatial modeling of heavy flood and arid areas.Aiming at the problem that the model recognition and parameter estimation of the geographic weighted regression (GWR) model are easy to be affected by the observed anomalies,a Bayesian geographic weighted regression (GBGWR) method based on Gibbs sampling is developed to solve the problem.The Markov Chain Monte Carlo Bayesian method based on Gibbs sampling is used to estimate the parameters of the GWR model,and the anomalous data of the observed values are reduced by the smoothing function.Finally,the precipitation data of 35 observation sites in Hunan province from 1985 to 2015 were simulated.The experimental results show that the performance of this method is 19.8% higher than the GWR model,and is 8.2% higher than the BGWR model.It is proved that the method can effectively reduce the influence of the abnormal value and the "weak data" on the regression result.More realistic simulation of the spatial distribution of precipitation in Hunan Province.

3D Point Cloud Clustering Based on Improved Ant Colony Algorithm

JIANG Shan, LÜ Jingguo, LI Xianhu

2018, 0(3):  38-42.  doi:10.13474/j.cnki.11-2246.2018.0072

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In order to improve the efficiency and accuracy of the existing point cloud clustering method,an ant colony optimization projection pursuit is proposed.This method provides better clustering results with respect to airborne LiDAR point clouds.The paper constructs the log and arctan function model to reduce the number of iterations required to update pheromone coefficients in ant colony algorithms,continuously optimize projection on the projection pursuit direction,and improve the efficiency of searching for the best projection direction in continuous spaces,which realizes point cloud clustering for trees and buildings through the ant colony optimization projection.The accuracy of the location and the number of the trees and the building are evaluated using manual methods.

Research on FNEA Object-oriented Classification Based on Multi-scale Partition Parameters

SUN Kun, LU Tieding

2018, 0(3):  43-48.  doi:10.13474/j.cnki.11-2246.2018.0073

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In this paper,the fractal net evolution approach (FNEA) is introduced,and then the effects of four segmentation methods,chessboard segmentation,quadtree-based segmentation,multiresolution segmentation and spectral difference segmentation are compared.In addition,the eCognition Developer 8.7 analysis software is used to perform multi-scale segmentation preprocessing of the image,starting from 5 and increasing in 5 increments.A total of 12 sets of parameters are selected for segmentation experiments.The object-oriented CART classifier is used to classify the segmented image.Compared with the overall accuracy and Kappa coefficient,it can be seen that the classification accuracy of small-scale segmentation parameters is better than that of large-scale segmentation parameters.When the segmentation parameter scale is 10,the small-scale segmentation parameters can be better than the large-classification accuracy to achieve the best level.

Research of Multi-sensor Pedestrian Dead Reckoning Method and UKF Fusion Algorithm

QI Yuhui, GUO Hang, DENG Linkun

2018, 0(3):  49-54.  doi:10.13474/j.cnki.11-2246.2018.0074

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Aiming at the problem of pedestrian dead reckoning (PDR) with inertial measurement unit and the positioning error will accumulate over time.A method of estimating indoor pedestrian space based on multi-sensor fusion is proposed.For low-cost multi-sensor of smart mobile device,the initial alignment based on the unscented Kalman filter (UKF) is designed and the four threshold conditions are set to carry out the step state detection.In the process of walking,the problem of the accumulation of the step and the heading angle error is based on the zero speed update (ZUPT) of the UKF to correct the speed error,zero angle rate update (ZARU) and magnetometer fusion of the heading angle error correction,which effectively improve the pedestrian final position accuracy.The experimental results show that the method can effectively improve the average positional deviation of PDR position by about 1.5% of the total distance.

A Generating Method for Weighted Voronoi Diagram Based on Reilly's Law

KANG Shun, QU Shanshan

2018, 0(3):  55-59,70.  doi:10.13474/j.cnki.11-2246.2018.0075

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Voronoi diagram and its generation are quite important in computational geometry.As to the limitation of weight defined and the generating efficiency for raster-based Voronoi diagram,taking the comprehensive conditions of generating grid scale weight and raster distance transformation weight into consideration,from multi-distance map angle,a raster-based weighted Voronoi diagram,i.e.Reilly Voronoi diagram (RVD) is proposed by map algebra method based on Reilly's law of retail gravitation,by which it avoids the multi-computing between background grids and generating grids in single map.Through experiment verification,it has been proved to be a feasible way for generating raster-based Voronoi diagram meanwhile improve and perfect the traditional weight factor and need not multi-computing between background grids and generating cell to generate spatial Voronoi tessellations.

Improvement of CA-Markov Model for Extended Modeling of Urban Built-up Area

LI Jing, CHEN Yunbo, LIU Xiaoqian, PEI Tao, SHI Kun, LI Xiangxin

2018, 0(3):  60-65.  doi:10.13474/j.cnki.11-2246.2018.0076

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The prediction of the expansion of urban built-up areas is an important management basis for preventing the spread of cities.At present,the CA-Markov model has become an important method for the expansion of urban built-up areas.The model is more sensitive to the method of index weight assignment.In the past,the single index assignment method affected the accuracy and credibility of the extended prediction of urban built-up areas.To this end,this paper proposes to improve the CA-Markov model by integrating AHP and logistic regression models based on the traditional weighted assignment method.The paper selects Dali city,Yunnan province as a case study to simulate and forecast the expansion of urban built-up areas in 2020 and 2030,and finally verifies the accuracy.The results show that:①Kappa index can reach 96.8%,the prediction results have a good consistency.②The expansion of urban built-up areas in Dali City continues to expand outward,with the southeast and northwest directions as the main expansion direction between the two built-up areas.Research provides a combination of weight assignment method to improve the CA-Markov model,which will provide planners with strong support in the future planning.

Design of Linear Feature Matching Method Based on Node Similarity

FANG Min, HUO Liang, SONG Lei, BAO Peng, WANG Rui, TIAN Jun

2018, 0(3):  66-70.  doi:10.13474/j.cnki.11-2246.2018.0077

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Identifying homonymous elements is the key techniques to the integration,updating and fusion of spatial data.For the problems of linear feature with the same topology but different data structure,this paper proposes a matching method of linear feature based on node similarity.This method takes the node as the main feature,selects direction and distance similarity measure criteria,and constructs three kinds of constraints,such as topology,direction and distance.On this basis,a model of similarity matching is established based on topology and spatial location,and the similarity matching of characteristic points of linear feature is realized.Experiments are carried out on a large scale road network.The experiment results show that this method is feasible and can effectively deal with the matching problem of complex linear feature.

Land Intensive Utilization Evaluation of the Development Zones in City——Taking Wuhan City as an Example

LU Xiaohui, LIANG Yong, YAN Qin, LIU Zhengjun

2018, 0(3):  71-75,88.  doi:10.13474/j.cnki.11-2246.2018.0078

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The city development zone land shows many problems.So we use fuzzy comprehensive evaluation of development zones with entropy weight.This paper takes 16 development zones in Wuhan as the research objects.The study selects 10 indicators and uses the entropy weight method to target and constructs the fuzzy comprehensive evaluation model according to the principle of fuzzy transformation as well as the principle of maximum membership degree.We use the Python build script fuzzy calculation process to calculate the results of 16 in Wuhan city development zone vector.Finally we make use of the maximum membership degree principle to determine the corresponding degree of land intensive utilization.In the 16 development zones in Wuhan city,4 are drawn in intensive exploitation,2 are drawn in a moderate exploitation,1 is in the excessive exploitation and utilization and the rest 9 are drawn in mild utilization.In addition,this paper uses ArcGIS to query and statistic the C_V of Voronoi diagram to analyze the state of 4 development zones in intensive utilization.The method used in this paper has high applicability and can provide the reality basis for land intensive utilization degree of ascension.

Ubiquitous Mapping and Its Typical Applications in the Area of Urban Traffic

WANG Qingguo, LUO Jing, ZHANG Kunlun, HE Haiqi, LIU Chenlin

2018, 0(3):  76-79,88.  doi:10.13474/j.cnki.11-2246.2018.0079

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The development of ubiquitous mapping provides the new technical ways and forms to collect the state information of traffic system real-timely and dynamically.In this paper,the basic characteristics of ubiquitous mapping are analyzed first,then the typical applications of ubiquitous mapping in the area of urban traffic,for example,the estimation of mean driving speed and the traffic volume,real-time obtainment of traffic hot spots,and traffic guidance service,are proposed.It is verified that ubiquitous mapping can provide technical supports for the solution of issues in urban traffic system.

Design and Implement of Differentiation Analysis Method Between Geographic Land Cover Data and Land Use Data

ZHU Xuehong, ZHANG Shuliang, CHU Zhengwei

2018, 0(3):  80-83.  doi:10.13474/j.cnki.11-2246.2018.0080

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Geographic land cover data is one of the important results of geographic conditions census.The differentiation analysis of land cover data and land use data can meet the relevant government departments' pressing needs to read data's evolution and its connotation.Based on this,this paper emphatically analyzed the classification differences between land cover data and land use data,built a classification mapping system,and designed and realized the analysis method of differences between two kinds of data in order to provide method and data to support the geographic conditions monitoring.

Land Subsidence in Fushun City from InSAR with Small Baseline Subset

YANG Fan, ZHANG Lei, ZHANG Ziwen, ZHAO Zengpeng

2018, 0(3):  84-88.  doi:10.13474/j.cnki.11-2246.2018.0081

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Fushun city is a comprehensive heavy industry city,thrived on coal.The coal mining led to an issue about the wide range of land subsidence.For this problem,in order to monitor the land subsidence of Fushun city effectively,the paper used small baseline subset (SBAS) technique to process the 12 COSMO-SkyMed high resolution SAR images which covered most area of Fushun city,and the scope and the rate of land subsidence were successfully achieved.The result shows that:The study area showed the tendency of subsidence as a whole,the rate of land subsidence most in the range of -25 mm/a to -45 mm/a.Of which,the most serious region is Xinfu county.There are two region subsided seriously,and the maximum subsidence rate reached -186 mm/a.The results provide beneficial data reference for the land subsidence caused by the mining of Fushun open-pit mines and the monitor of geologic hazard.

3D Reconstruction Method and Experiment of Aerial Survey of Low-altitude UAV for Open-pit Mine

LI Changqing, CAO Minglan, LI Yadong, WU Shenglin

2018, 0(3):  89-92.  doi:10.13474/j.cnki.11-2246.2018.0082

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With the popularity of unmanned aerial vehicle(UAV) application and the improvement of the performance of digital camera,it is possible to use UAV with a digital camera to rapidly acquire the aerial survey video of the mine area and get 3D data which conforms to the precision by combining with control points.This paper introduces a low-cost,fast and efficient 3D reconstruction method of open-pit mine,which adopts mapping eagle X100 with a SONY a7R digital camera to conduct field data collection,uses C++ and OPENCV with a small amount of ground control points to conduct the bundle adjustment,and then adopts PMVS algorithm to generate dense point cloud.Through the experiments in open-pit mine,the results show that the DOM and DSM error in the plane is ±0.113 m,mean square error of height is ±0.121 m,adjacent feature point spacing error is ±0.151 m,which all meet the accuracy requirements of the national standard of 1:500 topographic map.

Detecting the Underground Coal Fire by Using Landsat Thermal Infrared Imagery-Taking Wuda Coalfield as an Example

ZHANG Zhimin, JIANG Liming, LIU Lin, WANG Hansheng

2018, 0(3):  93-97.  doi:10.13474/j.cnki.11-2246.2018.0083

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In this paper,we use the threshold analysis technique to extract coal fire area of 2002,2007 and 2013 in Wuda coalfield on the basis of Landsat thermal infrared dataset.The results show that the coal fire area in 2007 is nearly doubled of that in 2002 due to extensive coal extraction,however,the coal fire in 2013 is effectively limited because of the extinguishing activities since 2010.Comparisons with the in-situ data manifest the error estimated by remote sensing is about 5%~10%,and solar radiation in the day leads lower inversion accuracy than the night,which causing higher virtual screening rate.Landsat imageries have important application potential in coal fire dynamic monitoring with its advantage of high spatial resolution,short revisiting cycle and large coverage.

DEM Establishing Method of Mining Subsidence in High Underground Water Mining Area with UAV

TIAN Shuaishuai, ZHAO Yanling, LI Yalong, XIAO Wu, ZHANG Jianyong, DA Hongzhi

2018, 0(3):  98-101.  doi:10.13474/j.cnki.11-2246.2018.0084

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The mining subsidence in high underground water mining area has high vegetation density,so unmanned aerial vehicle photogrammetry couldn't get the point cloud of the ground.To address this problem,this paper proposes a new DEM establishing method of mining subsidence areas based on the cross-sectional point cloud filtering and the revision of original DEM from the perspective of terrain feature of mining subsidence areas.This new establishing method can meet the precision analysis of 1:500 topographic map and can provide important basis for ground damage evaluation and land reclamation.

Application of Multimodal Sensor System in Channel Slope Topographic Surveying

ZHANG Jiahao, ZHOU Fengnian, CHENG Heqin, ZHENG Shuwei, SHI Shengyu, JIANG Yuehua, ZHOU Quanping

2018, 0(3):  102-107.  doi:10.13474/j.cnki.11-2246.2018.0085

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Measurements in topographic of channel slope are the foundation of bank erosion and stability study.We deployed integrated SeaBat-7125 multi-beam sonar,Riegl VZ-4000 terrestrial laser scanner,Trimble DGPS and RTK to build a multimodal sensor system to directly measure morphological characteristics of channel slope in Tongling and Ma'anshan reaches of the Yangtze River.We integrated the point cloud data of submerged portions of the slope with the non-submerged portions to achieve visualization of 3D morphology of channel slope.The results show that the measurements and integration methods of point cloud data are effective to acquire integrated topographic of channel slope,thus we enable to build a 3D vector terrain model to achieve quantitatively calculated of geomorphic features of channel slope like arc collapsing and so on.It has a long-term guidance for the monitor and stability evaluation of channel slope in these areas.

Aerial Triangulation Points Thinning Algorithm for UAV Image

WANG Kansheng, ZHENG Liang

2018, 0(3):  108-112.  doi:10.13474/j.cnki.11-2246.2018.0086

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In UAV aerial triangulation,feature point matching is mostly processed by matching algorithm based on computer vision,to supplement the number of ground control points.Because of the high resolution and rich details of the UAV image,the number of matching feature points is huge,which brings difficulties to the subsequent block adjustment.The points thinning algorithm is provided in this paper,which greatly reduces the number of matching feature points,preserves the high quality points first,and ensures the uniform distribution of the reserved points.

Spatiotemporal Variations of Land Use/Cover in Important Node Area along the China-Myanmar Oil and Gas Pipeline during 2012-2015

ZHOU Junsong, LI Shihua

2018, 0(3):  113-116.  doi:10.13474/j.cnki.11-2246.2018.0087

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"China-Myanmar oil and gas pipeline" is the third largest land energy corridor in China.The construction of this project will change the status of land use/cover around the line,and at the same time,it will have an important impact on the natural environment and social and economic development of the region along the line.Selecting the 11 important nodes at home and 4 important nodes in Burma along the China-Burma oil and gas pipeline as the study area,and based on Landsat7 ETM+and Landsat8 OLI image from 2012 to 2015,using the decision tree classification algorithm to extract the land use/cover information of the important node along the in China-Burma oil and gas pipeline from 2012 to 2015 and analyzing the land use/cover change of 15 important nodes along the China-Burma oil and gas pipeline during 2012 and 2015.The results show that:①The land cover change of 15 nodes was about 20% excluding the Mangshi city,Longyang district,Rakhaing State;②The main land cover change is the conversion between vegetation and bare soil,and the other change is the conversion between other land cover to construction;③The China-Burma oil and gas pipeline projects has radiating drive effect on promoting the development of local economy,and changing the economic structure of the local crop,and resulting in a large number of conversion between vegetation and bare soil,and causing the increase of building land demand and the emergence of a large number of other land cover type conversion to buildings.

Application of Multi-source Remote Sensing Data in Road Survey

GAO Wenming

2018, 0(3):  117-121.  doi:10.13474/j.cnki.11-2246.2018.0088

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Traditional engineering survey is easily influenced and restricted by field conditions in complex topographic survey.Therefore,in unreachable areas,it is difficult for the workers to conduct the project meeting the quality and efficiency requirements.Taking the Xingyan-road surveying project as an example,this paper proposes a method by combining the techniques of airborne LiDAR and satellite imaging,which takes full advantage of multi-source remote sensing data in the terrain interpretation and collection,and greatly reduces the load of the field work.The practical project validates that the proposed method can provide productions meeting the design requirements.Besides,the method is able to prove traditional DLG productions as well as DEM and DOM productions based on DLG.

Dynamic Monitoring and Analysis of Geological Disaster Deep Displacement Using SAA

QIU Dongwei, ZHU Sijun, WANG Laiyang, DUAN Mingxu

2018, 0(3):  122-125,129.  doi:10.13474/j.cnki.11-2246.2018.0089

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In order to master the deformation law of the deep displacement of geological disasters,the shape acceleration array (SAA) is used to monitor the deep displacement of the geological hazard unstable body.The inclinometer system is installed simultaneously at the same place for comparative analysis.By using the geological constitutive model and the analysis of "rainfall deformation model",the monitoring lines and monitoring points are designed.The experimental results show that the use of shape acceleration array system in the monitoring of geological disasters can not only monitor the deformation of deep displacement in real time,but also judge the specific slip surface position of landslide.Compared with inclinometer system,the shape acceleration array system has higher measurement accuracy,which has a better application scope and prospect in landslide geological disaster monitoring.

Practical Application of Real 3D-Modeling in Hydraulic BIM by UAV

WANG Yongsheng, LU Xiaoping, ZHU Hui, JIAO Jinlong

2018, 0(3):  126-129.  doi:10.13474/j.cnki.11-2246.2018.0090

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In order to meet the requirements of the whole life cycle management of water conservancy projects,this paper takes the Qianping reservoir as an example and establishes a technical process of rapid generation of coarse and fine models by using UAV single-lens large overlap photography and multi-angle tilt photography joint operation mode.The research shows that real 3D modeling can provide technical support for the whole life cycle management of water conservancy projects in investment analysis,engineering design,construction and safety quality management,reservoir area resettlement and so on.

Research and Development of New Geographic Information Sharing Application Platform Based Internet Crowd-funding and User Self-service

XIAO Jianhua, PENG Qingshan, GUO Mingwu

2018, 0(3):  130-133,142.  doi:10.13474/j.cnki.11-2246.2018.0091

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In view of the problem that the conventional GIS hinder the further social application of geographic information,this paper proposes and develops a set of new geographic information sharing application platform which combines the internet crowd-funding and user self-service.Based on the related supporting mechanism,both sides of supply and requisitioning parties for geographic information can realize docking and mutual aid accurately.At the same time,based on the related function modules of the platform,both sides of supply and requisitioning parties for geographic information can retrieve and obtain the geographic information resources,and then make self-service combination application of the resources.The applications show that compared with the "conventional GIS application system",this platform has more advantages.And it can effectively reduce the professional threshold and promote the sharing application of geographic information across different departments and regions.

Application of Geo-ontology in Dynamic Traffic System

ZHANG Caifang, ZHANG Ruizhuo, LIN Aiwu

2018, 0(3):  134-138,146.  doi:10.13474/j.cnki.11-2246.2018.0092

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Thanks to the development of mobile positioning technology,mobile GIS and IOT technology,the serviceability of dynamic traffic information is constantly improving.So a substantial promotion of data management efficiency is required.By means of the expansion of the concept hierarchy of ontology and its semantic characteristics,Geo-ontology was applied to manage the dynamic traffic data.In view of the theory and method of ontology,a simple applied ontology on traffic was constructed based on the traffic ontology hierarchy model.Thus an application framework of traffic information ontology was given.Ultimately,an overall discussion about the availability and the implementation of the dynamic traffic information ontology was taken at the end of this paper.With the practical data tested,the model established is contributed to solve the problem of multi-subject dynamic information integration and to enhance the level of traffic information service.

Realization of Navigation Road Expanding Based on GDAL API

GONG Yan

2018, 0(3):  139-142.  doi:10.13474/j.cnki.11-2246.2018.0093

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This paper firstly introduces the basic knowledge of the popular open source library (GDAL),which reads the geographic information data,and analyzes the advantages of using GDAL to process navigation data.Through the analysis of the navigation data processing needs,this paper explains how to use GDAL in navigation data processing.Finally,this paper uses geometric method and buffering method to generate the outer line of a navigation road.The experiments show that the geometric method is superior to the buffer method in terms of computation speed and edge effect,while the buffer method has a better fitting effect on a long road than the geometric method.

Study on the Method of Matching and Fusion of Multi-source POI

WU Zhangfeng, XIA Lanfang

2018, 0(3):  143-146.  doi:10.13474/j.cnki.11-2246.2018.0094

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For the problem of differences among the data format,coordinate reference,attribute structure and other aspects of multi-source POI,this paper presents a method of matching and fusion of multi-source POI.This paper firstly emerges a base database using the surveying POI data,and then POI data of other sources are compared with the base database in aspects of locations and attributes,some POI is considered as the different data that will be merged to the base.Finally,this will form a new POI database with regular structure and abundant information.Experimental results show that the proposed method can achieve the matching and fusion of multi-source POI data,and satisfy the increasing demands of LBS and Location Point.

Informatization Practical Training Teaching Design of Horizontal Angle Measurement Based on Internet of Things and Cloud Technology

ZHENG Kuo, BO Zhiyi, LI Changqing, ZHAO Xiaoping, CHEN Xujun

2018, 0(3):  147-149,161.  doi:10.13474/j.cnki.11-2246.2018.0095

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Aiming at the problem that the observation data in engineering training course cannot be monitored,this paper develops a cloud teaching platform based on the basic process and teaching cases of horizontal angle measurement.The platform integrates the knowledge of the internet of things,cloud technology and surveying and mapping.The application of cloud teaching platform in teaching enriches the means of information teaching and improves the level of teaching.At the same time,the internet of total station equipment also brings new ideas for the actual production of surveying and mapping.This study solves the problem of teaching and it is of practical significance.

Establishment of Mount Lao'anshan Tunnel's Internal Control Network and Its Boring Precision

XIN Jinzhu

2018, 0(3):  150-151,157.  doi:10.13474/j.cnki.11-2246.2018.0096

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This paper discusses the methods of utilizing the double-intersecting conducting wires in long and large cross section tunnels to test the tunnel's internal control network. This method is developed to strengthen the structural stability of the net-shaped conductingwires inside the tunnel,and to improve the boring precision across the tunnel.

Application of Trimble Three Dimensional Laser Scanning in Design and Installation of Glass Curtain Wall

BAI Yongqing, YANG Xuejiao

2018, 0(3):  152-154.  doi:10.13474/j.cnki.11-2246.2018.0097

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3D laser scanning technology is a kind of measurement technology developed in recent years,and is rapidly expanding its application field.The author tries to apply 3D laser scanner to the design and installation of glass curtain wall,expounds the process and measurement of its work,and achieves good results.Especially for the installation and design of special-shaped glass curtain wall the large-scale structure,it has obvious advantages of high efficiency,high measurement accuracy,and can provide 3D graphics.The method has high reference significance for similar engineering design and construction.

Application of Image Station Scanner Trimble SX10 in Mountainous Contour Mapping: Taking Subei Ditch Mine as an Example

WANG Yonghong, ZHANG Yangyang, MEN Linjie, CHEN Yawei, ZHANG Zhiguo, HAO Wei

2018, 0(3):  155-157.  doi:10.13474/j.cnki.11-2246.2018.0098

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This project studies image station scanner technology applied to mountain area contour mapping and takes Subei ditch mine as an example to discuss the advantage of this technology in mapping and whether it can solve traditional mapping efficiency safety accuracy etc.Using image station scanner technology not only can obtain scene image data but also can obtain data of point cloud with geographic coordinates quickly and highly.Contour map is generated quickly by using point cloud postprocessing software.This method not only improves the accuracy and efficiency of data acquisition but also improves efficiency of indoor mapping greatly.

Precision Analysis of the Large Scale Mapping Based on Sirius UAV

MENG Qingpeng, SUN Bin, LING Qing

2018, 0(3):  158-161.  doi:10.13474/j.cnki.11-2246.2018.0099

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The development of UAV aerial photography technology has been more and more obvious,which makes more and more aerial photography UAV field operations meet the accuracy requirement of large scale topographic map and improve operation efficiency. Topcon Sirius UAV is a high precision aerial photography system,and in the field of UAV aerial image measurement is realized for the first time without ground control,has obvious operational advantages. Based on the accuracy requirement of 1:500 large scale mapping,the accuracy of small range topographic mapping of Sirius UAV is verified and analyzed,and it provides reference for the needs of related aerial photography projects.