Top Read Articles

Published in last 1 year |

In last 2 years |

In last 3 years |

All

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Some thoughts on the Fourteenth Five-Year Plan of fundamental surveying and mapping RUAN Yuzhou, WANG Chenyang Bulletin of Surveying and Mapping    2019, 0 (11): 153-155.   DOI: 10.13474/j.cnki.11-2246.2019.0372 Abstract （6255）            Knowledge map    Save Focusing on clarifying the responsibilities and priorities of basic surveying and mapping in the business structure of natural resources management, and on how to better fulfill the legal requirements in accordance with the new Surveying and Mapping Law, the paper analyses the current situation of basic surveying and mapping, puts forward the basic thinking and main follow-up of the Fourteenth Five-Year Plan, and defines the focus of work and relevant measures. Relevant viewpoints have been reflected in the compilation of the Fourteenth Five-Year Plan for basic surveying and mapping. Reference | Related Articles | Metrics

Select

测绘通报    2017, 0 (5): 159-160.   Abstract （4365）   HTML    PDF（pc） （5121KB）（2160）       Knowledge map    Save Related Articles | Metrics

Select

Ground Points Recognition and DEM Extraction Based on DSM in Complex Terrain YU Longhua, WANG Leiguang, WU Nan, LIAO Shengxi, ZHANG Huaiqing 测绘通报    2018, 0 (5): 59-64.   DOI: 10.13474/j.cnki.11-2246.2018.0144 Abstract （4297）   HTML    PDF       Knowledge map    Save At present,researches of the extraction of DEM focused on DSM are mostly based on the flat areas,and the precision of extracting DEM is low.Therefore,in this article,a DEM extraction algorithm based on regional growth is proposed and implements ground points recognition and DEM extraction form DSM in complex terrain.The algorithm uses the maximum interclass variance (OTSU) to realize the adaptive selection of seed points,and growth criterion,and termination condition in regional growth.This method identifies the elevated road from the city DSM data to avoid that the regional growth algorithm wrongly divides the elevated road into the ground because of the continuity between the elevated road and the ground.By comparing with the method of local minimum,the results show that the proposed algorithm can improve the accuracy of DEM extraction,and the mapping precision of ground points recognition exceeds 90%,and experimental results demonstrate that the effectiveness of the proposed method is reliable and steady. Reference | Related Articles | Metrics

Select

Comparison of Several Kinds of Image Processing Software for Unmanned Aerial Vehicle LI Zhikun, ZHENG Shifang, LIU Rui, HUANG Xiaochuan 测绘通报    2016, 0 (6): 82-86.   DOI: 10.13474/j.cnki.11-2246.2016.0196 Abstract （2976）   HTML          Knowledge map    Save Reference | Related Articles | Metrics

Select

测绘通报

Select

Research progress of deep learning in classification and recognition of remote sensing images WANG Bin, FAN Donglin 测绘通报    2019, 0 (2): 99-102,136.   DOI: 10.13474/j.cnki.11-2246.2019.0052 Abstract （2534）   HTML          Knowledge map    Save The concept of deep learning has been a hot topic in machine learning and artificial intelligence since it was put forward. In particular, the deep learning, a deep neural network learning machine algorithm, is closely combined with the classification and recognition of remote sensing images, so that the local minimization of the traditional training algorithm can be solved. This paper briefly introduces the development of remote sensing image classification and recognition algorithms and the limitations of classical algorithms. Secondly, it introduces several mainstream algorithms of deep learning and analyzes their application status in remote sensing image classification and recognition processing. Finally, the future trend of application of deep learning in remote sensing recognition and classification is prospected. Reference | Related Articles | Metrics

Select

Block adjustment method for different types of satellite image ZHOU Pinghua, LI Yingcheng, LIU Xiaolong, QIAN Sainan 测绘通报    2019, 0 (5): 121-124,151.   DOI: 10.13474/j.cnki.11-2246.2019.0163 Abstract （2493）   HTML          Knowledge map    Save Traditional single-view satellite image correction requires some field control points. This paper proposes a satellite image block adjustment method, using the connection points between the images to carry out the forward intersection of the RPC model, and using a small number of control points for affine transformation to realize satellite imagery multi-track multi-view block adjustment. After testing, it can effectively reduce the field control points and improve the ortho rectification efficiency of satellite imagery. Reference | Related Articles | Metrics

Select

A Method of Achieving Single Body for Real 3D Model Generated by Oblique Photography CHEN Liangchao, ZHAN Yong, WANG Junyong 测绘通报    2018, 0 (6): 68-72,108.   DOI: 10.13474/j.cnki.11-2246.2018.0178 Abstract （2377）   HTML          Knowledge map    Save Achieving real 3D single model generated by oblique photography is a key technology to carry out the application of oblique photography.In this paper,a method based on the bottom texture to get real 3D single model is proposed.By acquiring the bottom information of a single object,the bottom contour texture is generated,and the bottom model is obtained,and then a RTT camera is built in the three-dimensional scene to get RTT texture of the bottom model.Finally,using projective texture mapping technology and GPU programming,the RTT texture is projected onto the 3D model of oblique photography,and the dynamic visualization of the real 3D single model is realized.Through the selection of the bottom surface model to select the real 3D single model,and then the connection of attributes and other applications based on single model are realized.Through the uniform variables provided by GPU shader language,the color modification,display and concealment of the model and operation of scene digging are realized. Reference | Related Articles | Metrics

Select

Construction of Tree Crown Three-dimensional Model Using Alpha-shape Algorithm LI Qing, GAO Xiangwei, FEI Xianyun, ZHANG Hong, WANG Jian, CUI Yunjian, LI Bin 测绘通报    2018, 0 (12): 91-95.   DOI: 10.13474/j.cnki.11-2246.2018.0390 Abstract （2352）   HTML          Knowledge map    Save In order to study the method of constructing the three-dimensional model of canopy, in this paper, the point cloud data acquisition platform was a three-dimensional laser scanner (Leica scanstation C10), with a common greening tree Zelkova serrata chosen as an experimental sample. Based on the points cloud of sample tree crowns, the 3D crown models were constructed using the alpha-shape algorithm in the Matlab software with different size value of the parameter- α. The results showed that when larger parameter- α value was employed, the 3D model was more general and the crown internal construction could not be described. With the decrease of the parameter- α value, the 3D model was becoming more and more detailed. When it decreased to a certain lower value, the modeling result became some of discrete graph patches, then the reconstructed results were incomplete and could not form a completed 3D model of the tree crown. The 3D crown model constructed by using the alpha-shape algorithm can reflect the different spatial morphological characteristics of the crown, and can be used as the base for the calculation of crown structural parameters.The results of the study can be used as reference for calculating the related structural parameters in further research work. Reference | Related Articles | Metrics

Select

Review of Remote Sensing Monitoring of Crop Pests and Diseases JIAN Junfan, HE Hongchang, WANG Xiaofei, LI Yue 测绘通报    2018, 0 (9): 24-28.   DOI: 10.13474/j.cnki.11-2246.2018.0273 Abstract （2244）   HTML    PDF（pc） （1070KB）（2143）       Knowledge map    Save Monitoring and early warning of pests and diseases in crops is an important direction in precision agriculture,which can effectively improve grain yield and quality.From the principle and technical route of monitoring crop pests and diseases with hyperspectral remote sensing,this paper first expounds four spectral feature extraction and transformation methods,including the derivative transformation and logarithmic transformation of original spectra,the characteristic parameters based on spectral position and area,the feature parameters of continuum removal,and the vegetation indexes.Then this paper discusses three inversion methods,including the statistical analysis,the machine learning and the physical model,by which the regression relationship between spectral reflectance and pest monitoring parameters is established.Finally this paper analyzes the advantages and problems of using hyperspectral remote sensing technology for crop pests and diseases monitoring. Reference | Related Articles | Metrics

Select

Quality Analysis of GNSS Data LI Xiaoguang, CHENG Pengfei, CHENG Yingyan, WAN Jun 测绘通报    2017, 0 (3): 1-4,8.   DOI: 10.13474/j.cnki.11-2246.2017.0071 Abstract （2101）   HTML          Knowledge map    Save The GNSS carrier phase observation value is affected by noise and the receiver clock jump, the cycle slip test sequence changes over time.To construct robust and sensitive test of cycle slip, satellite data of different system quality need to be analyzed, and the multi-path effect and signal-to-noise ratio are important indexes of the quality about observation data. This paper focuses on the analysis of the multipath effect and the signal-to-noise ratio of GPS and BDS satellites data; and proposed a method of receiver clock jump detection, which uses the O-C about dual frequency phase observation value and performs clock jump detection by using the ionosphere free linear combination. Reference | Related Articles | Metrics

Select

Research on Road Network Updataing and Trajectory Integratory Based Trajectory Data HUANG Yaohui, FAN Wentao, LIU Liuyang 测绘通报    2018, 0 (8): 119-123.   DOI: 10.13474/j.cnki.11-2246.2018.0258 Abstract （2094）   HTML          Knowledge map    Save With the rapid development of economy,the updating frequency of urban road network has increased rapidly.Road network data is of great significance for traffic planning and urban development.In this paper,a road updating approach based on GPS trajectory data is proposed.Firstly,the geometric shortest distance analysis and hidden Markov model analysis are used to extract the mismatched trajectory.These mismatched trajectories indicate road segments previously not available and include key information of the newly built road.To build new road network,the skeleton line of the new road is extracted by combining the Delaunay triangulation and the ridge line.Then the skeleton lines are simplified and extended to make the incremental update to the existing road network.The experimental results show that the combination of Delaunay triangulation and ridge line based on newly build trajectories can improve the generating efficiency of new roads and improve the updating effect of road network.The method indicates that the proposed approach can be used for incremental updating of large-scale road network. Reference | Related Articles | Metrics

Select

Research on the current situation and problems of natural resources monitoring and natural resources assets monitoring in China YE Yuanzhi, ZHANG Chaomang, DENG Yi, ZHANG Yu, WANG Jianbang, ZHANG Jian 测绘通报    2019, 0 (10): 23-29.   DOI: 10.13474/j.cnki.11-2246.2019.0312 Abstract （2059）   HTML          Knowledge map    Save Natural resources monitoring and natural resources assets monitoring are the basic work to archive the unified management and confirmation of rights of natural resources. This paper mainly introduces the methods and means of natural resources monitoring research and practice in China, from the perspectives of administrative monitoring, space monitoring, aviation monitoring, surface monitoring, underground mineral monitoring, water resources monitoring, marine monitoring and so on,by researching the concept and connotation of natural resources and natural resources assets monitoring. Finally, some suggestions are put forward to solve the main problems such as scientifically defining the connotation and classification of natural resources and monitoring catalogues, the integration and construction of national natural resources monitoring network, and the construction of space-time framework for natural resources monitoring. Reference | Related Articles | Metrics

Select

Road Extraction Based on Taxi Trajectory Data HU Han, XIANG Longgang, WANG Dehao 测绘通报    2018, 0 (7): 53-57.   DOI: 10.13474/j.cnki.11-2246.2018.0209 Abstract （2002）   HTML    PDF（pc） （2843KB）（944）       Knowledge map    Save 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. Reference | Related Articles | Metrics

Select

SLAM Technology and Its Application in Surveying and Mapping HUANG He, TONG Guofeng, XIA Liang, LI Yong, YUE Xiaoyang, JIANG Bin 测绘通报    2018, 0 (3): 18-24.   DOI: 10.13474/j.cnki.11-2246.2018.0069 Abstract （1966）   HTML    PDF       Knowledge map    Save 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. Reference | Related Articles | Metrics

Select

Calculation Methods and Accuracy Analysis of Meridian Arc Length LIU Xuejie, YANG Likun 测绘通报    2017, 0 (8): 106-109,116.   DOI: 10.13474/j.cnki.11-2246.2017.0264 Abstract （1963）   HTML    PDF（pc） （1049KB）（1764）       Knowledge map    Save There are several kinds of algorithms for calculating the meridian arc length except the classical expanded algorithm, such as numerical integration and ordinary differential equations numerical solution. In order to study the accuracy of each algorithm, this paper selected 3 sets of sample data within the geodetic latitude from 0° to 90°, whose intervals are 1°,1',1″, respectively. Based on the traditional expanded algorithms, numerical integral algorithms and numerical solution of ordinary differential equations, the corresponding meridian arc length results were calculated and the quality of each numerical algorithm with regard to algorithm accuracy and computation speed were evaluated. The results show that the 3 and 4 order Runge-Kutta algorithm not only have high precision but the computing speed is twice more than other algorithms. This paper provides new, reliable algorithm with high speed for meridian arc length calculation. The results provide an effective algorithm for calculating the meridian arc length. Reference | Related Articles | Metrics

Select

Experiment and analysis of high-precision RTK positioning with the Leica GS18 WU Jicang, LI Yuting 测绘通报    2019, 0 (4): 155-158.   DOI: 10.13474/j.cnki.11-2246.2019.0135 Abstract （1925）   HTML          Knowledge map    Save Nowadays, the rapid development of sensor fusion techniques in GNSS, and IMU is offering a great opportunity to high-precision RTK positioning. The conventional tilt compensation solutions mostly use magnetmeter measurements and INS, which are sensitive to magnetic disturbances and need on-site calibrations. Moreover, the tilt compensation range is often limited to 15°. To avoid the disadvantages mentioned above, the tilt compensation solution of Leica GS18 uses IMU measurements from industrial-grade MEMS. The positioning accuracies of the Leica GS18 at large tilt angles and in difficult environments are tested by the experiments in this paper. The result indicates that the centimeter-level precision is still achievable even in hidden environments, the tilt compensation is reasonably acquired by the Leica GS18. Reference | Related Articles | Metrics

Select

Comparison of Performance between Extended Kalman Filter and Particle Filter XUE Changhu, NIE Guigen, WANG Jing 测绘通报    2016, 0 (4): 10-14.   DOI: 10.13474/j.cnki.11-2246.2016.0111 Abstract （1883）   HTML          Knowledge map    Save Reference | Related Articles | Metrics

Select

Description of indoor space model with IndoorGML YUAN Debao, YAN Yu, WANG Bingling 测绘通报    2019, 0 (2): 76-79,85.   DOI: 10.13474/j.cnki.11-2246.2019.0047 Abstract （1875）   HTML          Knowledge map    Save The expression of the indoor spatial model is a key factor affecting the indoor location service.Before conducting the indoor spatial location service,it is necessary to establish a model that can express the complex features of the indoor space. Therefore, this paper proposes a multivariate hybrid indoor space model based on the traditional object feature model, geometric space model and symbol space model.The multivariate hybrid indoor space model is achieved through an optimal combination of the geometric and topological features expressed, which can fully express the connectivity relationship between indoor location and target,and meet the needs of indoor location service. For a large number of applications that need the same model for navigation analysis and information exchange, this paper proposes a method to describe the indoor space model using IndoorGML. This method can achieve the sharing of indoor space model information on each device side. Taking a large shopping mall in Beijing as an example, a multivariate hybrid space model of the mall was established and described using IndoorGML. Finally, the application of the proposed method was proved by the analysis of the path between two objects. Reference | Related Articles | Metrics

Select

Design of Large Data Center Construction for Smart City KONG Lingli 测绘通报    2017, 0 (10): 143-147.   DOI: 10.13474/j.cnki.11-2246.2017.0334 Abstract （1852）   HTML    PDF（pc） （3740KB）（3017）       Knowledge map    Save The paper analyzes the classification and characteristics of big data of smart city, and designs the smart city data model based on distributed storage and cloud computing technology. The model can efficiently organize and store the key data components of smart city such as geographic data, business data and real-time data, and use the model to build a framework of smart city data center. Reference | Related Articles | Metrics