Table of Content

25 November 2018, Volume 0 Issue 11

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Design and Performance Analysis of Low Cost GPS+BDS Receiver Based on RTK

ZHANG Yanhong, ZHANG Peng, WU Hui, XU Yaming

2018, 0(11):  1-6.  doi:10.13474/j.cnki.11-2246.2018.0339

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With the improvement of BDS system and the modernization of GPS system, GPS+BDS dual system positioning based on RTK technology has become more and more important in engineering applications. Currently, some vendors have integrated the RTK positioning engine in the GPS+BDS receiver module. This article mainly studies the method of realizing the RTK positioning technology with low cost GPS+BDS module, either through the traditional RTK method or the network RTK method. This study designed a receiver based on low cost GPS+BDS receiver module and compared the positioning effect of RTK positioning based on self-designed reference station and network RTK positioning based on Qianxun location network under static scene.In addition, the dynamic scenario in practical engineering applications are simulated. The test results show that even with low cost GPS+BDS receivers, real-time positioning accuracy of centimeters can still be achieved with the RTK positioning method under short-baseline conditions. This technology can be applied in the practical project.

Optimization of Non-tidal Sounding Model Supported by GNSS

GAO Xingguo, TIAN Ziwen, MA Deming, ZHENG Jian, LIU Yanxiong

2018, 0(11):  7-10.  doi:10.13474/j.cnki.11-2246.2018.0340

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Based on the model and research status of water depth measurement, the basic principles and key technical points of the non-tidal sounding model are expounded. At the same time, the operational mode of non-tidal survey at sea was optimized. And then the application was verified by taking Haiyang ten thousand meters sand beach sea area as an example. The results show that the sounding model based on the non-tidal theory can meet the requirements of the sounding specification from two aspects of internal and external coincidence accuracy. It can be popularized and applied in bathymetric survey of ocean engineering.

A New Stereo Matching Algorithm Based on Adaptive Weight SAD Algorithm and Census Algorithm

ZOU Jingui, WAN Ying, MENG Liyuan

2018, 0(11):  11-15.  doi:10.13474/j.cnki.11-2246.2018.0341

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The SAD algorithm and Census algorithm are commonly used in stereo matching. In this paper, the characteristics of the two methods are analysed. After the SAD algorithm is improved, and it is fused with Census to propose SAD-Census algorithm with adaptive weights. The experiments show that, compared with traditional SAD algorithm and Census algorithm, the proposed algorithm is more efficient and robust to the matching of actual scene images.

ROF Partial Differential Equations Suitable for SAR Images De-noising

FU Suining, LU Xiaoping, LU Yao

2018, 0(11):  16-19.  doi:10.13474/j.cnki.11-2246.2018.0342

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In this paper, an improved algorithm based on histogram partial differential equalization(PDE) is proposed. This algorithm overcomes the problem of information damage in detail region, caused by eliminating speckle noise in existing SAR image enhancement algorithm. The method is based on the original histogram equalization PDE model, and combined with the ROF (Rudin Osher Fatemi) denoising model, the diffusion coefficient is controlled by the image gradient of edge features, and is kept small in edge region to retain edge information while big in non-edge region to remove noise. Then self-adaptive correction is applied to the denoised image, to suppress the unevenness in smoothing area of the image caused by ladder effect. The advantage of the algorithm is that de-noising and image enhancement are carried out simultaneously, so as to reduce the influence of coherent noise while preserving the contours of the edge of the feature. In order to verify the applicability of the algorithm, Sentinel-1A data is selected for example test. The results show that this method can effectively remove the coherent noise in the smooth region, and the information in edge and detail region is well preserved.

A Simplification Method of Point Cloud Data of Industrial Components Based on Surface Variation

CAO Shuang, ZHAO Xianfu, MA Wen

2018, 0(11):  20-24.  doi:10.13474/j.cnki.11-2246.2018.0343

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The point cloud data of industrial components obtained by a 3D laser scanner has high accuracy to represent the object, but it contains a large number of redundant points.On condition that the geometric characteristics of the measured objects are ensured, simplification of the point cloud data is capable of increasing calculation speed, reducing storage space, and highlighting modeling characteristics. In this paper, a new algorithm based on curved surface variation for the point clouds of industrial components is proposed. By calculating the curved surface variations of points, the point cloud is divided into three zones with different characteristics. Weighting values are set for the point zones. The threshold of approximate characteristic points is defined using the curved surface variations of points. Calculate the simplification rates of those points less than the threshold according to its characteristic zones. Then define the distance threshold based on the simplification rate to finish the simplification. The three groups of data for bunny point cloud, point cloud of a box, and point cloud of an industrial part are simplified using the simplification technique introduced in this paper, i.e. curved surface variation-based simplification technique. In respect of extent, speed, and accuracy of simplification, comparison is made between the curved surface variation-based simplification technique and the curvature-based simplification technique. The comparison shows that the two techniques have the same simplification accuracy but the former overtakes the latter in terms of simplification speed. In addition, the former does better in preserving geometric characteristics. Owing to addition of boundary protection processing, the former has little impact on the boundary and can hence meet the subsequent modeling requirements.

Study of InSAR Interferogram Denoising by Non-local Means Algorithm

HU Jinshan, DING Jin, KANG Jianrong, HUANG Chenling

2018, 0(11):  25-29.  doi:10.13474/j.cnki.11-2246.2018.0344

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In view of the deficiency of the non-local image restoration algorithm (Non-local Means) in interferogram filtering, an adaptive smoothing parameter Non-local Means based on the coherence coefficient is proposed. In theory, the improved algorithm can retain more physical and detailed information of interference images while denoising the InSAR interferogram. Finally, the denoising effect of the new algorithm, the traditional Non-local Means filtering algorithm, the Goldstein and the adaptive median filter are compared and analyzed by the measured data. The results show that the improved algorithm proposed in this paper is superior to the other three filtering algorithms in restraining the noise of InSAR interferogram, maintaining phase information and stripe information.

Extraction Method of Road Network Based on Adaptive Clustering Learning

CHEN Guang, XUE Mei, CHEN Liangchao, SUI Haigang

2018, 0(11):  30-35.  doi:10.13474/j.cnki.11-2246.2018.0345

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Aiming at the problem of over fitting of classifiers caused by the heterogeneity of road samples in complex scenes,this paper proposes an automatic road-network extraction method based on adaptive clustering learning.Method takes high resolution remote sensing image and older road-network as input data.Positive and negative samples are automatically acquired by the guiding of road-network.Then authors present an adaptive clustering method for road samples,which is based on the feature distribution in sample-set.Road extraction results are integrated by the majority voting method.The experimental results based on large scene data show that the proposed method can effectively take into account the different features of road objects.Quantitative experimental comparison of the results further shows the applicability of the method.

Global Autocorrelation Analysis of Landscape Pattern Based on Uniformity Theory, Moran's I and General G-statistic

ZHANG Yujuan, QU Jianguang, WANG Qiang, LI Dan

2018, 0(11):  36-39.  doi:10.13474/j.cnki.11-2246.2018.0346

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In this paper, taking Tazi Gou forest farm as the research area, taking the two phase Landsat TM images of 1997 and 2009 as the main data source, with the help of ENVI 5.1, ArcGIS 10.3 and Geoda095i, the uniformity theory analysis method is introduced into the spatial correlation analysis of landscape pattern to analyze the global autocorrelation of the study area landscape pattern. The conclusion is compared with the analysis method of Moran's I and General G-statistic. In 1997, the uniformity of landscape pattern is 0.320 7, which is between the lower limit 0.297 2 and the upper limit 0.339 7, the coefficient of Moran's I is -0.11 and the value of Z Score is 0.92, it shows the pattern of the study area is random pattern. In 2009, the uniformity of landscape pattern is 0.288 3, which is less than the lower limit value 0.296 9, the coefficient of Moran's I is 0.42 and the value of Z Score is 2.06, it shows the pattern of the study area is aggregated pattern. The same conclusion is drawn from the three methods, that is, from 1997 to 2009, the pattern of the study area changed from random pattern to aggregated pattern in the 12 years.

Calibration of LiDAR and Camera Based on 3D Feature Point Sets

YU Deqi, LI Guangyun, WANG Li, LI Shuaixin, ZONG Wenpeng

2018, 0(11):  40-45.  doi:10.13474/j.cnki.11-2246.2018.0347

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Aiming at the calibration of LiDAR and camera of driverless technology, this paper proposes an automatic calibration method based on 3D feature point sets of two sensors data. First, ArUco tags provide transform between the camera and the cardboard marker, the dimensions and location of the cardboard is known, the location of the corners can be calculated. RANSAC algorithme is used to fit edges on the points from the LIDAR, their intersection is calculated as corners, thus the two sets of point correspondences are found. Then, Kabsch algorithme is used to obtain the optimal calibration parameters between the LiDAR and the camera. Finally, we compare the optimal calibration parameters obtained from calculated against measured values using tape by a human to test the feasibility of our method. For further determine the accuracy of our method, we use our method to calibration of two cameras, the accuracy of the calibration parameters obtained is evaluated by the quality of the fusion point cloud data. The experimental results show that the automatic calibration method based on 3D feature point sets can realize the accurate solution of calibration parameters between LiDAR and camera, this method could be used to automatic calibration of two or more cameras.

Multi-invariant Feature Combined Photovoltaic Power Plants Extraction Using Multi-temporal Landsat 8 OLI Imagery

WANG Shengli, ZHANG Lianpeng, ZHU Shouhong, JI Li, CHAI Qi, SHEN Yang, ZHANG Rui

2018, 0(11):  46-52.  doi:10.13474/j.cnki.11-2246.2018.0348

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The supervised classification algorithm highly depends on the training samples so that it faces big challenge in the monitoring and analysis of natural resources for the inaccurate data caused by remote sensing imaging radiation deviation. Normally, for the same category on land surface, there are always some spectrum differences in multi-temporal images and different spatial locations on the images for the different conditions of atmosphere, radiation, illumination and acquisition geometries. This paper presents a method of extracting photovoltaic (PV) power plants based on multi invariant feature combination using Landsat 8 OLI remote sensing imagery. Based on the analysis of spectral uncertainty of the ground objects, this method combines the transformed spectral characteristics, spectral curves, texture and band ratio to improve the generalization performance of the ground object extraction algorithm by utilizing the complementation of multiple features. Firstly, the RGB band of the remote sensing image is converted into the HLS format, and the Fourier transform texture feature is calculated according to the brightness dimension L, and the spectral angle, band ratio, hue and saturation are added as the spectral signatures, which is not sensitive to the changes in pixel brightness values. Finally, we choose One-class support vector machine (OCSVM) as a classifier. The experimental results show that our method not only can effectively overcome the differences in pixel brightness values of the objects but also has a better performance on extracting the complex PV power plants.

A Modified Classification Algorithm of MCSM/H-PSO of Fully Polarimetric SAR Image

YU Shasha, YU Jie, ZHU Teng, WANG Yanbing

2018, 0(11):  53-57.  doi:10.13474/j.cnki.11-2246.2018.0349

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Particle swarm optimization (PSO) is widely used in image classification because of the ability of random global optimization.The quality of particle has a major influence on the identification of cluster center.Because of the spatial correlation of adjacent pixels in fully polarimetric SAR image,we proposed to use weighted PSO algorithm in SAR image classification to make the cluster center more reasonable for the improvement of classification accuracy.Meanwhile,we used the multiple-component scattering model (MCSM) method combined with the scatter entropy to extract the 6 polarization features of the images,making full use of the polarimetric characteristics of the polarimetric SAR images.In the proposed method,firstly,the SAR image is classified as preliminary classificat based on scattering mechanism by MCSM decomposition and scatter entropy. Secondly,the result of classification is used as the initial classification of the weighted PSO algorithm to achieve the classification of objects by iteration.The result of using the full polarimetric SAR data of Radarsat2 in Beijing and the full polarimetric SAR data of AIRSAR in San Francisco AIRSAR show that the total accuracy of the proposed method was 90.57% and 93.25%,respectively.

IMU-assisted Tracking Model of Monocular Vision Inertial Positioning

WANG Shuai, PAN Shuguo, HUANG Lixiao, ZENG Pan

2018, 0(11):  58-62.  doi:10.13474/j.cnki.11-2246.2018.0350

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In order to solve the outstanding problem of poor monocular vision inertial positioning accuracy under violent motion,an IMU-assisted tracking model for monocular vision inertial tightly-coupled positioning is proposed to improve the robustness under monocular vision inertial tightly-coupled positioning.The IMU-assisted tracking model is used to replace the conventional reference frame and constant speed tracking model.The model is divided into two phases.In the initialization phase,on the basis of setting the initial translation of the current frame in the constant model,the IMU pre-integration is used to determine the initial rotation of the current frame so as to obtain the initial pose of the current frame.After the initialization is completed,the prior velocity information of the IMU pre-integration is added based on the initial pose provided.Finally,the tracking model is established from the initial state calculated above to achieve accurate positioning.Validation uses open indoor SLAM data sets.The results show that the proposed IMU-assisted tracking model can effectively improve the robustness of the system,while the positioning accuracy is controlled in about 0.1 m,the accuracy is about 20% higher than that of the traditional tracking model.

Bus Stations Prediction Based on Canopy-K-means from Taxi GPS Data

LIU Xu, CHEN Yunbo, SHI Kun, HUANG Qiang

2018, 0(11):  63-68.  doi:10.13474/j.cnki.11-2246.2018.0351

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It is fairly hard to plan the path of public traffic and to determine the traffic site via traditional way. Additionally, by appropriately mining the useful GPS data of taxi, the human activity hotspot can be identified. Thus, mining the GPS data of taxi is helpful for planning bus station. For this reason, A Canopy-K-means method is proposed to predict public traffic stations. Firstly, the hot spots of the tourist destination can be got by applying the Canopy K-means algorithm. Further, comparing the hot spots with the existing bus stations, we analyze the rationality of the existence of the bus station. Then, the temporal and spatial distribution characteristics of passenger flow is studied by mathematical statistics. The GPS trajectory data of 2064 taxis in Wuhan from July 31, 2014 to August 12, 2014 are employing for experimental study and the results show that the proposed method can effectively distinguish the rationality of bus station location and provide auxiliary decision for the departure frequency of buses.

A Structural Road Extraction Method Based on Normal Vectors Similarity of Point Clouds

AN Yaojun, CHEN Xiaoxuan, SUI Lichun, ZHOU Rongrong

2018, 0(11):  69-72.  doi:10.13474/j.cnki.11-2246.2018.0352

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With the distribution characteristics of point clouds in structural roads, a road extraction method based on similarity of point cloud vector is proposed. The method firstly filters the original point cloud to remove the non-ground point interference, and then uses the principal component analysis method to estimate the local normal vector and the curvature value of each laser foot point after filtering the ground point cloud. As a constraint condition, degree is used to segment the road surface point cloud using an improved region growing algorithm. Using the vehicle point cloud data under two different scenarios to carry out experiments, the completeness and accuracy of road extraction are above 93%. The experimental results show that the accuracy and completeness of the road extracted by this method are not affected by the width and shape of the road. It is applicable to the extraction of structured roads in urban environments.

An Traffic Trajectory Data Analysis Method Based on Trajectory Feature Division

ZHAO Shuxu, QU Ruitao, LIU Changrong

2018, 0(11):  73-77,82.  doi:10.13474/j.cnki.11-2246.2018.0353

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Most of the current division methods of traffic trajectory data do not take into account the arbitrary nature of its spatial distribution,combined with the division of a single point,resulting in the analysis is not ideal.In order to solve this problem,a multi-feature trajectory data point combined with data space division method is proposed.The recorded points of the massively-trafficked traffic trajectory are extracted,pre-processed and denoised by α-Shapes method,and the trajectory feature points are calculated.Click the spatial proximity to group,and then according to the location of the Voronoi division.The method overcomes the shortcomings that the division effect is not obvious due to the randomness of spatial distribution when the trajectory data is divided,and effectively improves the trajectory data analysis effect.This method is validated by the taxi data of Zibo city,Shandong province.The results of the distribution heat map after the data are divided show that this method is more effective than the traditional data classification method and also contributes to the de-noising of the trajectory data.

A Large Scale Spectral Clustering Algorithm Using Sampling Improved Weighted Kernel K-means

JIN Hai, ZHANG Jinsong, WU Rui

2018, 0(11):  78-82.  doi:10.13474/j.cnki.11-2246.2018.0354

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Classical spectral clustering algorithm transforms data clustering into graph partitioning problems, so, based on analyzing the equivalence between its Normalized Cut objective function and the weighted nuclear K-means function, a large-scale data spectrum based on sampling improved weighted nuclear K-means is designed, in which initial clustering preprocessing by Leaders is used to control the size of subsequent random sampling data and coverage of the original data categories, and the weighted kernel K-means iterative optimization is used to avoid the large resource consumption of Laplacian matrix feature decomposition of classical spectral clustering algorithm, thereby avoiding the time-space complexity of all nuclear moments by using of partial kernel matrices. Experimental results show that, the improved algorithm can greatly improve the clustering efficiency on the basis of maintaining similar clustering accuracy with the classic algorithm.

Solving the Adjustment Model with Bounded Constraints by Approach Variable Substitution

ZHANG Liyan

2018, 0(11):  83-85,89.  doi:10.13474/j.cnki.11-2246.2018.0355

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When the constraints in least squares adjustment model are bounded,it is solved by constrained optimization theory.The searching direction is necessarily feasible and descendent.While in unconstrained optimization problem,it is not necessary to consider the feasibility of the searching direction.Thus unconstrained optimization is simpler than the corresponding constrained one.In this paper,the model parameters with bounded constraints are transformed with two typical variables substitution and the constrained least squares problem is thus converted to an unconstrained nonlinear least squares problem.The examples demonstrate that this method is feasible and effective.

A Polyhedral Function Fitting Method of Elevation Anomaly with Terrain Entropy and Clustering

SUN Jialong, GUO Shuyan, LONG Bingxin, QIN Siyuan

2018, 0(11):  86-89.  doi:10.13474/j.cnki.11-2246.2018.0356

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A method is put forward to determine the classification number of elevation anomaly with terrain entropy.The ratio of distance and terrain entropy is taken as an index to select the center points of polyhedral function.On this basis,height anomaly surface is fitted with the selected center points.In order to compare the advantages and disadvantages of various methods,the outside precision is taken as an index to evaluate the accuracy of various methods.The results show that the accuracy of surface fitting using terrain entropy and clustering is 28% higher than that using clustering analysis alone,is 48% higher than that using terrain entropy alone.

A Modified GNSS/VRS Algorithm Related Only to the Master Reference Station

WANG Yanheng, PAN Shuguo, NI Xin, YU Guorong, GAO Wang

2018, 0(11):  90-92,98.  doi:10.13474/j.cnki.11-2246.2018.0357

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In kinematic network RTK (NRTK) positioning, when users move rapidly, the virtual reference station (VRS) also need to be changed frequently. This will lead to the frequent initialization and damage the continuity of RTK positioning. In this paper, we proposed a modified algorithm which can overcome this shortcoming. Firstly, a fixed VRS was selected in the network cell where the user was located. Then, the virtual observations was generated at this virtual station. Lastly, the differential atmospheric delay between user's actual position and this virtual station was corrected. The performance was tested with Tianjin CORS. The results showed that the positioning accuracy and initialization time using the proposed algorithm was comparable to the traditional VRS algorithm. However, the proposed algorithm had two obviously advantages. The first one was that users do not need to reinitialize as long as the main reference station was not changed. The second one was that only the software in NRTK center needed to be upgrade, instead of any improvement in the RTK terminals.

Detection and Repair of BDS Small Cycle Slips

GUI Weizhen, LI Changqing, HUANG Xiaoyang, WANG Guobin, LIU Yanjun

2018, 0(11):  93-98.  doi:10.13474/j.cnki.11-2246.2018.0358

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BeiDou Navigation Satellite System is more and more applicated in the navigation and positioning around Asian area.On the basis of BDS tri-frequency carrier and the combination of MW,a carrier-phase combination detection method based on ultra-long wave without ionospheric effect is proposed,combined with the ionospheric segregation equations to detect the various combinations of small cycle slips in the carrier phase observations,which reduce the error and misjudgment of cycle slips detection effectively.In order to repair small cycle slips,on the basis of the spatial domain search method,the double image contrast method and the ionospheric segregation method are added,which improve the accuracy and correctness of the cycle repair effectively.The carrier phase observation data of MEO satellites,GEO satellites and IGSO satellites at sampling intervals 1,5 and 30 s are tested,which show that the cycle slip detection and repair method is feasible and effective,and all cycle slips under larger sampling interval can be detected and repaired accurately.

Comparison Test of Multiple Method for Volume Based on Point Cloud Data

XIE Hongquan, CHEN Yanhong, CAO Shuo, LU Xia

2018, 0(11):  99-102.  doi:10.13474/j.cnki.11-2246.2018.0359

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The calculation of the volume of complex piles is very important in practical engineering. It is of great significance to calculate volume of heap using laser point cloud data. A temporary soil pile in a building site was selected as the research object, and the Leica C10 3D laser scanner was used to obtain the laser point cloud data, and the Cyclone software was used to preprocess the data. Cyclone, CASS, Geomagic and HD_3LS_SCENE software were used to calculate the volume of the earth heap respectively, and the results were compared and analyzed. The results showed that the method of using the laser point cloud data to obtain the bulk volume was feasible, and it could meet the requirements of different precision and had great practical application value.

Preliminary Design of Establishment of Long-term Monitoring and Warning Mechanism for Resources and Environmental Carrying Capacity in Hubei Province

HONG Liang, HUANG Lu, SHI Xiaoming, YU Xiaomin

2018, 0(11):  103-106,110.  doi:10.13474/j.cnki.11-2246.2018.0360

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With the fast development of modem society and economy, the construction of ecological civilization and the sustainable development of regional economy, has raised higher requirements for regional resources and environment. Therefore, it is urgent to establish a long-term monitoring and early warning mechanism for resources and environmental carrying capacity. Taking Hubei province as an example, in this paper, the main construction contents of establishing of long-term monitoring and warning mechanism for resources and environmental carrying capacity is discussed from a technical level. And then some suggestions on monitoring and warning of resources and environment are put forward.

Analysis and Validation of Subway Tunnel Automatic Monitoring Accuracy Based on Intelligent Total Station

BAI Wenfeng

2018, 0(11):  107-110.  doi:10.13474/j.cnki.11-2246.2018.0361

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It is of great significance to monitor the structure of subway tunnels to ensure the safe operation of subways. At present, the intelligent total station instrument is applied more and more widely in the automatic monitoring of the subway tunnel structure, and the monitoring accuracy it can achieve is also attracting attention. Combined with the basic mathematics model of deformation monitoring with intelligent total station, the accuracy of its application in subway tunnel monitoring is analyzed, and its monitoring accuracy is also verified in the actual subway tunnel.

Auditory Perception Application in PM_2.5 Map Visualization

XIE Wenjun, ZHU Maoliang, YANG Honghai, YANG Nai, LÜ Jianjun

2018, 0(11):  111-114,125.  doi:10.13474/j.cnki.11-2246.2018.0362

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It is hard to transmit information by using map visualization method among the group of people who have dysopia. In view of this problem, we analyze the mechanism of sound production thoroughly and take the PM_2.5 data of China from January 1 to January 29 in 2016 as the research object. Considering the air pollution level and the number of monitoring sites at different level, we build mapping models between the fundamental music alphabet, the frequency of overtones and the average value of PM_2.5, the volume of overtones and the number of monitoring sites covered by different spatial pollution levels. Then, we obtain the sound parameters, achieve PM_2.5 data sonification by using GarageBand music production software, create PM_2.5 visual dynamic monitoring map by using PowerMap. Finally, we design the PM_2.5 dynamic spectrum map. The research has reference significance for the application of multisensory channel in the process of map visualization.

Design of Electronic Teaching Maps Based on Geospatial Literacy Education Concept

ZHAO Liang, REN Fu

2018, 0(11):  115-120.  doi:10.13474/j.cnki.11-2246.2018.0363

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With the continuous reform of national curriculum and the rapid development of educational technology, geography educators have new requirements of maps for geography teaching. Based on geospatial literacy education concept, this thesis focuses on the design of electronic teaching maps for middle school geography curriculum. It puts forward four design methods and relevant examples according to the levels of geospatial knowledge, aimed at contributing to electronic teaching maps of geographic literacy education with geography educators and map designers.

An Non-equidistant Multi-point Gray Deformation Prediction Model Optimized by MTLS

GAN Xiangqian, REN Chao, LIU Linbo, LIU Zhongliu, YANG Qing

2018, 0(11):  121-125.  doi:10.13474/j.cnki.11-2246.2018.0364

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For there are some errors in the observation matrix and background value matrix of the non-equidistant multi-point gray deformation prediction model, an optimization non-equidistant multi-point gray deformation prediction model based on multivariate total least-squares is proposed. By combining the example analysis, the results show that compared to non-equidistant multi-point gray deformation prediction model based on least-squares parameter estimation that only considers the observed value exists error, this model can suppress the error of modeling data, and improve the fitting and prediction accuracy of the model. It is suitable for application in deformation prediction.

Comprehensive Evaluation of Land Use Value Assisted by National Geographic Conditions Data

HOU Enbing, DONG Bin, ZHANG Zhifan, CHEN Chunhui

2018, 0(11):  126-130,137.  doi:10.13474/j.cnki.11-2246.2018.0365

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Studying the value of land use can directly reflect the overall level of land use, which is of great significance for the study area to improve the existing land use methods and promote regional development. This paper takes Fengtai County as the research object, and uses ArcGIS 10.3 software to re-classify the existing national data of Fengtai County in 2015 according to the geographical national conditions data of Fengtai County. The method of combining laws and methods to construct a comprehensive indicator system of land use value, expounding the current land use status and the method for calculating land use value in Fengtai County, and then establishing a comprehensive evaluation model of land use value and analyzing the results of the assessment, to the existing land in Fengtai County. An objective and comprehensive analysis is made of the value of land use resulting from the use of land use methods. Finally, the analysis conclusions are used to provide a reliable reference for better promoting the further development of the study area.

Collaborative Management of Land-use Planning and Urban Planning Based on GIS Web Services:Taking Tianjin as an Example

RUAN Bailin, LIAO Lang

2018, 0(11):  131-137.  doi:10.13474/j.cnki.11-2246.2018.0366

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Taking land-use planning and urban planning of Tianjin as the study object,this paper proposed a technical approach based on GIS Web Services for collaborative management of Land-use planning and Urban planning,which will promote land-use planning and urban planning to deeper integration,and provides an effective solution for the current land use contradiction and waste of resources,and finally achieve the purpose of promoting land resources efficient allocation and improving administrative efficiency.

The Evolution of Population Spatial Structure in Less Developed Regionsof Different Scales

WANG Li, XIE Gangsheng

2018, 0(11):  138-143.  doi:10.13474/j.cnki.11-2246.2018.0367

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This paper researchs the pattern of regional population spatial structure evolution and its influencing factors,which is based on the census and statistics data since the reform and opening up, taking Xinyang in central less-developed hilly area as an example, using GIS technology on different scales.The results show that:① The population spatial distribution of Xinyang city has significant regional differences. On the regional scale, the population spatial distribution has obvious gradient difference from southwest to northeast. At the county scale, the population of highly populated areas decreases gradually, and the population of low-density areas remains basically the same, with obvious population differences. On regional scale, the population density in the southern and western part of mountains is low, the population density in the central part of hills and downlands is medium, the population density in the northern part of Huanghuai Plains is high.The population center of gravity is always located in the geometric center of the northeast and the population gradually gathered from the east to the west. ② There are many factors influencing the population spatial pattern of Xinyang.Natural environment determines the spatial distribution pattern of population.Economic development level is the main reason for the population change trend. Regional land use planning strategy plays an important role in guiding the spatial flow of population.

Technical Realization of Measurable 3D Visualization System for Pearl River Estuary

PENG Wen

2018, 0(11):  144-147.  doi:10.13474/j.cnki.11-2246.2018.0368

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This paper systematically studied the application of 3D GIS, Skyline and other technologies, analyzed the construction requirements of upwater and underwater 3D visualization system. An integrated surveying and mapping information service solution was proposed for 3D visualization of upwater and underwater integration.Using the Pearl River estuary waters as a pilot,this paper briefly expounded the technical method and realize for building a three-dimensional spatial data foundation framework of sea area based on Skyline technology, expected to provide reference for promoting 3D visualization of China's hydrographic services.

Research on Graduation Design Teaching Based on OBE Concept Under the Background of “Internet+Geomatics”

ZHAO Yuling, ZHANG Zhaojiang, ZHANG Anbing, LIU Haixin, SUN Qi

2018, 0(11):  148-150.  doi:10.13474/j.cnki.11-2246.2018.0369

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Starting from the status quo of geomatics major of the university facing engineering education professional certification, combined with the needs of society for geomatics professionals under the background of "Internet+geomatics",this paper analyzes the problems existing in the graduation design of the 2012 to 2017 graduates in geomatics, analyzed and put forward the measures and methods to improve the quality of graduation design based on OBE concept,in the hope that the trained talents meet the requirements of engineering certification standards, and meet the social requirements for geomatics professionals in the context of "Internet+geomatics".

Application of UASMaster in UAV System in Highway Survey Delimitation of Land

LIU Dan, CAO Qianhong, ZHANG Shuoyang

2018, 0(11):  151-153,157.  doi:10.13474/j.cnki.11-2246.2018.0370

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This paper introduces the main components and operational processes of UAV remote sensing systems, and focuses on the application of UAV remote sensing in the land survey and measurement community, and takes the example of the land survey and measurement community at the Mazhu Expressway (Dawu to Hong'an Section) as an example. Topographic surveys of UAV aerial surveys were conducted and the accuracy of topographic maps was analyzed. The results show that the application of drone aerial survey in the land survey field is feasible, and the efficiency is relatively high, which can meet the requirements of large scale mapping accuracy.

Application of UAV Aerial Survey Technology in Illegal Mining Monitoring

HUANG Jun, LI Tao, ZHU Junli

2018, 0(11):  154-157.  doi:10.13474/j.cnki.11-2246.2018.0371

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In order to rationally carry out mineral resources exploration and orderly development, effectively protect the ecological environment and crack down on illegal exploitation, the relevant industry management departments have been exploring and trying on the law enforcement means. The use of free control of UAV can solve the workers to enter the construction site and avoid the regulatory problem, operation safety, fast. Combined with the real 3D management platform, rich and varied aerial survey results are more intuitive and effective for mine law enforcement monitoring. This paper introduces the key steps to achieve the monitoring of open-pit mine mining and control measures, demonstrates the feasibility and effectiveness of the new technique, which can provide reference for similar project.

The Comprehensive Application of Three-dimensional Laser Technology in Mine Measurement

PENG Jinsong, YE Bo, LI Juan, ZHOU Guangming

2018, 0(11):  158-160.  doi:10.13474/j.cnki.11-2246.2018.0372

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With the development of society, the application of mine surveying and mapping becomes wider and wider, whose demand for accuracy and efficiency can be hardly meet by traditional surveying and mapping methods.As a technological innovation after GPS in this field, the three dimensional laser scanning technology has a promising future in application.In this paper, an analysis of three-dimensional laser scanning technology is first given, based on which the application of three-dimensional laser scanning technology in mine surveying and mapping is presented. This work can provide a reference for the application of three-dimensional laser scanning technology in mine surveying and mapping.

BIM Technology Combined with Measurement Robot Lofting Function in the Field of Bigh-rise Buildings

TONG Pengcheng, ZHANG Tongbo

2018, 0(11):  161-163.  doi:10.13474/j.cnki.11-2246.2018.0373

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With the in-depth use and development of BIM technology, profound changes have been brought to the traditional construction field, especially in combination with advanced measuring instruments, which has completely changed the traditional building construction mode.