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Table of Content

    25 September 2019, Volume 0 Issue 9
    Advance and application of UAV hyperspectral imaging equipment
    LI Yue, YANG Cankun, ZHOU Chunping, SU Junjie
    2019, 0(9):  1-6,17.  doi:10.13474/j.cnki.11-2246.2019.0275
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    UAV hyperspectral imaging equipment has a wide range of development prospects due to its advantages such as flexibility and simple operation.In this paper, the research progresses of hyperspectral imaging equipment development are systematically summarized and reviewed. Firstly,based on the development process of hyperspectral imager, the significant advantages of UAV's hyperspectral imaging equipment in data acquisition are expounded. Secondly, from the aspects of imaging mode and research status, the problems of image width, high cost and low level of localization of unmanned aerial hyperspectral imaging equipment are pointed out. The latest application research results based on UAV hyperspectral imaging equipment are introduced. Solutions to overcome current device shortcomings are proposed.Finally, the future development trend of unmanned aerial imaging imaging equipment is pointed out. This paper can provide some reference for the development of UAV hyperspectral imaging equipment, and can also provide some help for the application of UAV-based hyperspectral imaging equipment.
    The development of shipborne over water and under water intergrated mapping system
    SHI Shuochong, ZHOU Xinghua, LI Jie, YANG Long, TANG Qiuhua, LIU Senbo
    2019, 0(9):  7-12,17.  doi:10.13474/j.cnki.11-2246.2019.0276
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    Islands,coastal zones and other areas have been difficult areas for marine surveying and mapping.In recent years,airborne laser bathymetry can be applied to coastal zones,islands and reefs survey,but due to many constraints,it is unable to achieve seamless mosaic of water and land topography in China.Shipborne over water and under water intergrated mapping technology integrates three-dimensional laser ranging technology,multibeam sounding technology,position and orientation technology through multi-process network technology,which makes up for the shortcomings of traditional surveying methods,such as low efficiency,high cost,difficulty in obtaining high-density water and land three-dimensional spatial geographic information.As a new marine space exploration technology,it has great advantages.This paper summarizes the latest research progress of the shipborne over water and under water intergrated mapping system at home and abroad,expounds its system composition and principle,summarizes the key links in the data acquisition and processing flow of the system and the existing problems of the system.At the same time,it looks forward to its future development trend.
    Review on crop canopy spectral analysis and retrieval
    LI Yue, HE Hongchang, WANG Xiaofei, ZHANG Guomin
    2019, 0(9):  13-17.  doi:10.13474/j.cnki.11-2246.2019.0277
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    The crop canopy spectral reflectance has a strong correlation with the biological and physical parameters of crops such as the leaf nitrogen content, the chlorophyll content and the leaf area index. The biological and physical parameters can be retrieved by crop canopy spectral analysis, and applied to the field of growth analysis, yield prediction, pest and disease warning and so on. Firstly, three kinds of canopy reflectance acquisition methods based on ground, airborne and space-borne spectral meters are expounded separately, whose advantages and disadvantages are compared. Secondly, the principle of vegetation index construction is given, and the complexity and performance of physical model based retrieval and statistical retrieval methods are analyzed. Finally, the future and challenges of crop canopy spectral analysis and retrieval are suggested.
    Pedestrian determination based on mobile phone sensor and complementary filter
    GUO Ying, SUN Yuxi, JI Xianlei, FENG Mingyang, LIU Qinghua
    2019, 0(9):  18-21,26.  doi:10.13474/j.cnki.11-2246.2019.0278
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    At present, pedestrian dead reckoning(PDR) has gradually become a hot spot in the research and application of indoor location. In view of the large cumulative error of the gyroscope in calculating the pedestrian heading, a pedestrian heading algorithm based on smart phone sensor is proposed. The algorithm adjusts the error compensation coefficient of the PI regulator in real time according to the angular velocity data output by the gyroscope and the parameters of the mobile phone sensor to compensate the heading angle of the preprocessed accelerometer and the magnetometer data. The gyroscope data is filtered by complementary filtering to obtain the combined heading angle.Based on low cost smart phone, we collect smart phone sensor data under the strong and weak environment of magnetic field, and compare the accuracy of the algorithm with the traditional complementary filtering algorithm and the nine axis data fusion algorithm in calculating pedestrian direction.Experimental results show that compared with the traditional complementary filtering algorithm and the nine-axis data fusion algorithm, the proposed algorithm improves the positioning accuracy by 68.4% and 65.9%, respectively, and the average heading error decreases by 3.4° and 1.8° in the indoor environment of strong magnetic interference,it verifies the proposed algorithm has better anti-magnetic interference performance and improves the reliability of pedestrian heading.
    Application of dual quaternion method in robust point cloud registration
    LI Mingfeng, LU Haifang, ZHAO Xiangyu
    2019, 0(9):  22-26.  doi:10.13474/j.cnki.11-2246.2019.0279
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    Aiming at the problem that the feature points in point cloud data contain gross errors, a robust point cloud registration method based on dual quaternion is proposed. The robust point cloud registration model based on dual quaternion is constructed according to the principle of weighted least squares. The solution formulas of rotation matrix and translation vector are derived by Lagrange multiplier method. The iterative steps of new weight calculation and coordinate transformation are studied. The example shows that the gross error can be effectively identified and eliminated with the method, and the accuracy of point cloud registration is improved.
    Effects of coal exploitation on land use and landscape pattern of the Nihe watershed
    WANG Hui, FENG Qiyan, DIAO Xinpeng, MENG Lei
    2019, 0(9):  27-33,61.  doi:10.13474/j.cnki.11-2246.2019.0280
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    Based on the seven phases multi-source remote sensing images of the 1987, 1994, 2000, 2006, 2009, 2013 and 2017 of the Nihe watershed in Huainan Coal Mine, the texture and the spectral features have been used to classify the remote sensing images by support vector machine (SVM). Based on this, the influence of coal mining on land kuse and landscape pattern change in Nihe watershed in recent 30 years is analyzed. The results show that the mining of coal mine has changed the land use pattern and type of the watershed, the most significant change is the mutual transformation of cultivated land and construction land and the transformation of cultivated land to the subsidence water. Over the past 30 years, the area of subsided water increases by 2 281.05 hm2, the area of construction land increases by 14 741.73 hm2, and the area of cultivated land decreases by 15 044.67 hm2. Driven by coal mining, the overall landscape pattern of the Nihe watershed is turned into a turning point in 2006. It is characterized by fragmentation, irregularity, heterogeneity and low connectivity in the early stage, and then it is continuous, regularized, balanced and highly connected changing. The construction land, cultivated land and subsidence water have undergone the process of continuous fragmentation to the gradual improvement of the landscape, the plaque shape of cultivated land, construction land and natural water body is complex. The shape of forest land, garden land and subsidence water is relatively regular, cultivated land has always been in a dominant position, but its superiority is weakened. The maximum plaque index is reduced from 79.706 0 to 38.745 5, and the advantages of subsidence water and construction land are enhanced.
    Method of building height estimation under the constraint of profile contour lines from high resolution remote sensing images
    CHEN Hui, ZHANG Ka, SU Dong, WANG Pengbo
    2019, 0(9):  34-37,72.  doi:10.13474/j.cnki.11-2246.2019.0281
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    In view of the mutual occlusion between shadows when we use shadows to calculate the height of a building, in this paper, we propose a new method for building height estimation based on building profile. First, we use RPC model to calculate the direction of image displacement and satellite imaging angle, then rotate the remote sensing image to make the building image displacement along the horizontal direction. Then we use the Canny algorithm for contour detection and construct rectangular morphological structural elements to perform morphological opening operations on contour images to extract side contours. Subsequently Hough transform and building corner are used to further screen the extracted contours. Finally, the building height is estimated according to the geometric relationship between the building height and the displacement of the image point. We use high-resolution satellite images to verify the method and compare it with the shadow method to estimate the building height. The experimental results indicate that the average error of building height using the profile line can reach 0.7 m, and the actual accuracy is better than using the shadow method.
    High-resolution image multiresolution segmentation with the aid of Landsat 8 multispectral data
    LIU Jinli, CHEN Zhao
    2019, 0(9):  38-43.  doi:10.13474/j.cnki.11-2246.2019.0282
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    In order to solve the problem of edge sawtooth in high-resolution image segmentation results, this study carries out high-resolution image contrast segmentation experiment with Landsat 8 multi-spectral data assisted or not in Huapiqiangzi forestry form in Yichun City, Heilongjiang Province. Firstly, the paper designs the segmentation experiment under the same scale parameter of multiresolution segmentation algorithm to determine the optimal composition of homogeneity criterion parameters required by the algorithm. Furthermore, based on the idea of local variance (LV) of object heterogeneity within a scene reflects the optimal segmentation scale, scales are found corresponding to obvious peaks of the homogenous local variance variation rate in the specific scale range (100~400, step size is 1) generated by ESP2, which is defined as the optimal segmentation scale range.Finally, the results of the two segmentation are evaluated by vector distance index, compactness index and shape index. The evaluation results show that compared with the independent segmentation of GF-2 image, the GF-2 image segmentation assisted by Landsat 8 multispectral data improves the quality of vector distance index, compactness index and shape index, and the average increase rate are 8.05%, 28.40%, 11.76% separately.
    Research on the wire absolute position measurement technology of high accuracy in particle accelerator
    LIANG Jing, LUO Mingcheng, WANG Tong, DONG Lan, LUO Tao, KE Zhiyong, WANG Xiaolong
    2019, 0(9):  44-50.  doi:10.13474/j.cnki.11-2246.2019.0283
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    The vibration wire technique is recommended for accurate pre-alignment of the magnets on one same unit in particle accelerator. However, the position of vibration wire represented the magnetic center should figure out for the relative alignment between the different units. In order to obtain the absolute position of the wire, the method for getting the points and lines position by the close-range photogrametry technique is studied in this paper. The images are taken on multi-stations by single camera, and the calibration plate used for providing control points is taken to self-calibrate the camera by bundle adjustment method. It also puts forward a way to express the spatial line by two points and this makes the line resolving by bundle adjustment went easier. A test is carried out to measure the position of the line which is simulated by the two points on calibration plate, and the result showes that the accuracy of line position is better than 5 μm as compared with the theoretical values provided by the calibration plate. These confirm the correctness of the theory and method in this paper, and lays a foundation for the wire absolute position measurement with high accuracy.
    The sales character analysis of retails based on K-means method and spatial correlation
    WANG Luyao, GAO Shan, LI Jun, FAN Hong
    2019, 0(9):  51-54.  doi:10.13474/j.cnki.11-2246.2019.0284
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    Retail activities, as one of the cores of urban commercial activities, can efficiently reflect the city's economic level and consumer's consumption habits. To obtain consumer characteristics in micro-scale, this study makes use of the sales data of retail shops in Guiyang and propose the sales feature extraction methods to extract information through sales performance. The key characteristics of each store is found out existing fitting relationship with actual sale performance, based on which optimized allocation strategy for retail shops are carried out. The research in this paper can change the decision-making process of the current enterprise and improve the social-economic benefits.
    Characteristics of public bicycle usage in Ningbo city based on big data mining
    MEI Siyu, QIAO Guanmin, SHAO Lixia, WANG Jie
    2019, 0(9):  55-61.  doi:10.13474/j.cnki.11-2246.2019.0285
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    Based on IC big data of public bicycle usage, the open data of POI, GIS regional attribute data of Ningbo city, the softwares of ArcGIS10.2 and SPSS22.0 are applied to mine the characteristics of Ningbo city's public bicycle usage. The results show that:① There is temporal-spatial difference in public bicycle usage. There is ring structure in public bicycle usage in space. There are bigger amount of public bicycle usage, weaker pickup-return tidal ratio, higher berthutilization rate in inner city than those in both the outer ring layer and the peripheral area in Ningbo city. ② The properties of land use led to a significant impact on the public bicycle usage in Ningbo city. There are positive correlation to the public bicycle usage, such as population density, POI(medical insurance, educational institutions, catering services, park), the morning rush hour and the evening rush hour. Also there are negative correlation to the public bicycle usages, such as the number of subway stations, corporate enterprises, landuse of green fields and public squares.
    Study on urban interior simulation and grey correlation degree of simulation and loss in Xi’an City
    HUANG Xitao, ZHANG Yu, ZHAO Shaobing, LI Huaien
    2019, 0(9):  62-67.  doi:10.13474/j.cnki.11-2246.2019.0286
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    Based on DEM, hydrology principle, this paper synthesizes the basic principles of GIS technology and urban intrinsic, impervious surface and considering infiltration and drainage, simulates water flow along the grid unit from high to bottom, distributes flow according to slope ratio, and forms the urban interior scenario simulation in different rainfall intensity, which extracting information such as the risk range and distribution characteristics of typical water points in Xi'an. The spatial analysis and data validation results are consistent with the actual results. Superimposed surface coverage of classification results and statistical yearbook data include population, economy, traffic, buildings, it get different risk of inundation, then introduce grey correlation theory to quantify the degree of correlation between rainfall and loss factors, and to explore comprehensive influencing factors of the intrinsic loss in the city. It shows that the correlation between rainfall and economic loss factor is the largest, reaching 0.823, and the correlation with the population loss factor is the smallest, reaching 0.725. The order from large to small is:economy>building >Inundation area>Road>Population. So, fully considering the artificially controllable urban intrinsic impact factor, it proposes to reasonably control the urban land expansion speed and improve land use efficiency, aiming at providing reference for the management, prediction and decision-making of urban inland.
    Analysis of urban expansion characteristics and driving forces in Harbin
    XU Jiejia, ZANG Shuying
    2019, 0(9):  68-72.  doi:10.13474/j.cnki.11-2246.2019.0287
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    Using night light data as data source, this paper extracts the construction area of Harbin in 1992, 1997, 2002, 2007, 2012 and 2017, calculates the expansion speed, roundness, compactness and fractal dimension, and analyzes the driving force of urban expansion. The results show that from 1992 to 2017, the morphological characteristics of the built-up areas in Harbin changed greatly and the compactness decreased. The driving forces of urban expansion mainly come from economic development, population growth and policy planning.
    Key technologies of three-dimensional real estate property rights surveying and mapping production
    LI Feng
    2019, 0(9):  73-76,114.  doi:10.13474/j.cnki.11-2246.2019.0288
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    With the complexity and scale of urban space utilization, the traditional 2D GIS can not meet the needs of refined and accurate spatial information management of 3D real estate. Starting from meeting the requirements of real estate registration, studying on the key technologies such as the establishment of oblique photography real 3D model, single body of 3D model, real estate registration data integration, the correlation between 3D model and the real estate registration data, and the establishment of 3D real estate property rights surveying and mapping database.And it is verified by an example,which realize the refined management of 3D real estate registration information, improves the work efficiency of specific businesses in the process of real estate registration and fully assists the rapid progress of unified real estate registration.
    A fusion method of local sparse ground point cloud and existing DEM
    LEI Lizhen, LIN Chao
    2019, 0(9):  77-81.  doi:10.13474/j.cnki.11-2246.2019.0289
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    There will be sparse ground points that point cloud datas produced by airborne LiDAR in some local areas. When we use them to construct DEM, the problem of "triangle patch" will occur, which seriously affects the quality of DEM. This paper proposes a fusion method of sparse ground point cloud datas and existing DEM. The sparse point cloud as a high-precision control points, on the premise of keeping the topographic features of the original DEM as much as possible, the local elevation correction of DEM is carried out through Gaussian kernel function weighted iterative interpolation algorithm to realize the consistent fusion of sparse point cloud and DEM. The experiment shows that the fused point cloud datas are well supplemented, the new DEM has a natural topography. At the sametime,the accuracy is improved to a certain extent after fusion, its reliability is significantly improved in weak precision areas.
    Pollution classification of heavy metals Pb and Cd in mining area based on hyperspectral
    QIAN Jia, GUO Yunkai, ZHANG Qiong, JIANG Ming
    2019, 0(9):  82-84,89.  doi:10.13474/j.cnki.11-2246.2019.0290
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    In view of the high variability of soil heavy metal content and the imbalanced samples lead to the high classification error of heavy metal pollution in mining area.Based on the spectral preprocessing and spectral transformation, this paper uses principal component analysis (PCA) for spectral dimension, and applies SMOTE algorithm to generate virtual samples balance each pollution grade sample, and heavy metal Cd and Pb are regressed and classified by random forest(RF). The results show that the quantitative inversion precision of heavy metals Pb and Cd is bad. In the qualitative analysis experiment, SMOTE algorithm was applied to spectral samples before dimension reduction. The classification accuracy of Pb and Cd pollution levels in soil was greatly improved compared with that of the original samples, and the misjudgment rate of a few categories was also significantly decreased. The study provides an effective and accurate method for monitoring soil heavy metal pollution in a large area.
    Color balancing method of DPGrid-Ortho and its application in aerial orthoimages generation
    LIAN Xu, TAN Ming
    2019, 0(9):  85-89.  doi:10.13474/j.cnki.11-2246.2019.0291
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    As an important procedure in the aerial image processing, the color balancing provides a solid foundation for generating ortho-mosaic images with consistent color tones and good overall visual effects. This paper first reviews the numerous scholar researches of color balancing, and then introduces an auto-adapting global-to-local color balancing method used in the DPGrid-Ortho software. Finally, the effectiveness of this method is verified by real datasat.
    Online visualization method combining government electronic map and data cube
    CAO Qiaoyun, HE Wangjun, ZHANG Fuhao, LIU Tao, LIU Jiping
    2019, 0(9):  90-93.  doi:10.13474/j.cnki.11-2246.2019.0292
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    At present, the political district map has multi-level drilling and chart linkage display functions, but it needs statistical data in advance, can not be online real-time statistics, lacks data cube data slicing, flexible display capability, and proposes a combination of political map and data cube for this problem. Online visualization method, through the deep integration of multi-level political district maps and data cubes, real-time statistical real-time statistical parallel display of political district data shows multi-dimensional data of various political districts (for example, provincial, municipal, county, township level), test certificate This method has better online analysis and interaction effects.
    Spatio-temporal variation analysis algorithm of LULC based on spatio-temporal process object
    LI Shihua, WANG Yiqin, ZHOU Junsong, JIN Baoxuan
    2019, 0(9):  94-98.  doi:10.13474/j.cnki.11-2246.2019.0293
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    Geographical components spatio-temporal change is one of the important contents in geography research. And perspective study is that how to use computer technology to express the spatio-temporal change of spatial data. Aiming at revealing the spatio-temporal variation of land use/land cover (LULC) process and mining spatio-temporal variation rules, the types and methods of spatio-temporal variation of LULC patches are discussed, and a spatio-temporal variation analysis algorithm for analyzing LULC patches is constructed. The reliability and effectiveness of the algorithm are verified according to analysis of spatio-temporal variation of LULC in the past 40 years in the Fuxian Lake Basin. The results show that, the method can be used to analyze the spatio-temporal variation process of geographical elements such as surface cover, and can efficiently reveal the change process of geographic elements and their attributes on the time axis.
    Bus load factor estimation based on transit big data: a case study of Shenzhen
    WEN Shuai, HUANG Zhengdong
    2019, 0(9):  99-103.  doi:10.13474/j.cnki.11-2246.2019.0294
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    Sustainable urban development needs to improve the supply capacity of public transport. The load factor is an important parameter in bus planning, dispatching and service evaluation. The level of public transit information provision has been improved. With the availability of transit IC card data and bus GPS data, it is possible to obtain relatively accurate information of passenger flow. Although relatively stable OD estimation methods have been suggested, there is still research gap on bus load factor. In this paper, a large-scale public transit trip chain search algorithm based on historical public transit big data is proposed, and a bus load factor database is constructed. Taking Shenzhen as an example, this paper reveals the spatial and temporal distribution characteristics of high load factor road sections. The research has great value for revealing the overall level of bus service and detecting key bus corridors.
    Study on land subsidence information management system at coastal county and city level
    XIONG Chengli, JIN Hongfang, ZHENG Yongzhong
    2019, 0(9):  104-107.  doi:10.13474/j.cnki.11-2246.2019.0295
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    The coastal counties and cities in Hang-Hia-Hu area have accumulated abundant observation data of land subsidence, develop and establish a set of land subsidence information management system to managed these data effectively,and to further summarize the law of land subsidence change in coastal counties and cities, and to analyze the mechanism of land subsidence, which is of great significance to earthquake prevention and disaster reduction, urban planning and construction. Firstly, the system requirements are analyzed, and the system framework and key technologies are studied. On this basis, a set of land subsidence information management system is developed, which has been applied and promoted in many cities in Hangjiahu area.
    Using virtual reality to improve spatial cognition effect of urban planning scheme
    ZHANG Jun, LI Xiao, CHEN Kai, YE Jinyong, HUANG Siman
    2019, 0(9):  108-111.  doi:10.13474/j.cnki.11-2246.2019.0296
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    The amount of geospatial information is a huge and that the spatial relationships is intricate in modern cites.It is required that the exhibition form of geospatial and planning scheme has better cognitive effect, so that planner can make the cognitive effect more efficiently and accurately. Thus planner can make scientific and reasonable planning design and approval decision.Comparing with conventional planning scheme, the virtual reality technology can effectively improve spatial cognitive effect of the planning scheme.This paper aims to propose a method for creating virtual reality scenes of the urban planning scheme, and to verified the significant advantages of virtual reality scenes spatial cognitive effect by experiments.
    Technological innovation of “digital Hengyang” integrated big data and geographic information public service cloud platform construction
    ZHANG Shuling
    2019, 0(9):  112-114.  doi:10.13474/j.cnki.11-2246.2019.0297
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    “Digital Hengyang” integration of cities and counties in big cloud data and geographic information public service platform construction, realize the integration of cities and counties in the geographic information management, sharing and collaborative services, formulated the complete integration of cities and counties in the standard system, innovating the mechanism of the basic geographic information data production and management, created “One-click mapping” technique based on the standard system. It has greatly improved the efficiency of geographic information sharing application, reduced the technical threshold for the application of geographic information in the county, and provided experience for the construction of digital cities in other parts of the country that can be used for reference and promoted. It has reached the international advanced level. It will further realize the rapid application of data results in all walks of life, and generate better economic and social benefits in the future.
    Basic problems and research directions on the public welfare mapping on-demand
    LIU Wanzeng, ZHAO Yong, ZHAO Tingting, ZHU Xiuli, WU Chenshen, LI Ran, ZHAI Xi
    2019, 0(9):  115-117,127.  doi:10.13474/j.cnki.11-2246.2019.0298
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    Based on the functional duties and the basic characteristics of the public welfare map, the problems in the on-demand mapping in China are analyzed, the technical system and standards of public welfare maps should be established are put forward, and the key technologies and research directions for public welfare on-demand mapping in the future are pointed out.
    Quickly processing technology and application of remote sensing image based on multi-source control data
    ZHANG Hongwei, WANG Zhongxiang, YANG Ying
    2019, 0(9):  118-120.  doi:10.13474/j.cnki.11-2246.2019.0299
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    The existing high-precision geographic information data provides a control source for quickly ortho-rectification of remote sensing images. This paper designs a fast processing technology route of remote sensing images based on multi-source control, such as ortho-images, digital elevation models and stereo datum network data. It is verified in a lot of experiment, and provided ideas for quickly processing of remote sensing images.
    Major design of capacity building project for national emergency surveying and mapping in China
    ZHAO Yong, WU Hao, WANG Zhongxiang, ZHU Jie
    2019, 0(9):  121-127.  doi:10.13474/j.cnki.11-2246.2019.0300
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    Natural disasters occurred frequently in China and have caused serious losses to people's lives and property. Emergency surveying is one of the important components of our emergency response system and disaster reduction and prevention system. In recent years, the technologies and equipment for emergency surveying and mapping have made great progress. It is the time to improve our emergency surveying and mapping work by building a system which could cover the whole nation with large-scale and collaborative capacity. Taking the characters of emergency surveying and mapping work as target, the paper analyzes its business flow and data flow firstly. And then proposes the major framework and designs its components and interfaces among different ingredients. Finally, the preliminary progress and prospective achievement are discussed. The researches could be basis for the top-level design of our national emergency surveying and mapping work, and will be useful to enhance its overall technologies.
    Design and realization of high payload and long endurance UAV based aerial photography system for emergency surveying and mapping
    WANG Zhongxiang, WU Hao, ZHU Jie, WANG Junwei, ZHANG Ronghui
    2019, 0(9):  128-134.  doi:10.13474/j.cnki.11-2246.2019.0301
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    UAV (unmanned aerial vehicle) based aerial photogrammetry is one of the major methods for emergency surveying and mapping. In recent years, a series of UAVs with high payload and long endurance have been applied in civil area. But, former researches on UAV based aerial photogrammetry systems mainly focused on micro/mini UAVs and manned aircraft. These researches are unable to fit with the characters of UAVs with strong capabilities because of the lack of special design methods. In order to solve this problem, this paper analyzes the differences between various types of fixed-wing UAVs, and takes the integration of UAV platforms, mission sensors and remote sensing processing software as the key point of the design of this type of UAV system. Then, an integration method for multiple sensors based on special aerial photography controller is proposed, and the integration process of different software including plan of aerial photography, real-time processing of video and high precision processing of images is introduced. Based on the above methods, an aerial photography system for emergency surveying and mapping based on CH-4 is realized and experimented in Guangyuan Sichuan. The experiment results show that this system can obtain video, optical image and SAR dataset by a single flight, and the quality of datasets can meet the requirements of large-scale surveying and mapping.
    Design of national emergency surveying and mapping dispatch system
    LIU Lei, LIU Jin, ZHAI Yong, XING Xuchao
    2019, 0(9):  135-138,146.  doi:10.13474/j.cnki.11-2246.2019.0302
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    This paper analyzes the basic characteristics and actual needs of emergency surveying and mapping command and dispatch. Then, combined with the national emergency standard specification, three methods are proposed as the key techniques of the system design, which are data communication and transmission technology based on multi-channel and multi-protocol, distributed database management technology based on MPP architecture, and task planning based on UML model. At the same time, according to the location, status and emergency mapping geographic information of real-time feedback from emergency equipment such as unmanned aerial vehicle (UAV), and multifunctional shelters, as well as data and operation information generated by rapid processing and sharing system are multi-source diversity. Finally, a complete national emergency surveying and mapping dispatch system is designed, which has the functions of emergency dispatch plan formulation, commands are quickly released, dynamic scheduling and real-time tracking of surveying and mapping equipment, progress monitoring of surveying tasks and emergency mission walkthrough.
    Design and construction of national emergency surveying and mapping site surveying system
    BI Kai, WANG Zhongxiang, WU Hao, ZHU Jie, ZHANG Ronghui
    2019, 0(9):  139-146.  doi:10.13474/j.cnki.11-2246.2019.0303
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    Aiming at the practical problems of the current emergency surveying and mapping site survey, this paper analyzes the task requirements of the emergency surveying and mapping site survey, puts forward the design scheme of the national emergency surveying and mapping site survey system, expounds the technical design idea on overall function, workflow, system interface, summarizes the main achievements and technologies of the system. Indicators form a one-stop, integrated technical equipment for emergency mapping site survey, which integrates data acquisition, data processing, result transmission, on-site mapping output, on-site geographic information service, remote video consultation, on-site life support, and achieves national coverage of emergency mapping site survey through rational layout design.It is of great significance to enhance the technical capability of the frontier survey of emergency mapping in China and to build national emergency mapping support system.
    Design of the public service platform for national emergency surveying and mapping considering volunteered geographic information
    YANG Jing, HUANG Wei, ZHA Zhuhua, ZHANG Hongping
    2019, 0(9):  147-151.  doi:10.13474/j.cnki.11-2246.2019.0304
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    This paper focuses on the design and overall structure of public service platform for national emergency surveying and mapping, and combines the characteristics of volunteer geographic information to explore the processing flow and application mode of this kind of information in the construction of the platform. New attempts have been made in the emergency information resource sharing and service platform construction to provide useful practices for the construction of emergency response systems in China.
    Application of 3D laser scanning technology in surveying and mapping of building facade
    ZHANG Li, SONG Li
    2019, 0(9):  152-154.  doi:10.13474/j.cnki.11-2246.2019.0305
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    Aiming at the problem of low efficiency in traditional building facade measurement methods, the author explores an application scheme based on 3D laser scanning technology to quickly realize building facade surveying and mapping. In this paper, combined with the actual scene, the building point cloud data is obtained through the Trimble TX8 laser scanner, and the point cloud drawing is performed by using Trimble RealWorks software. The result shows that the ground laser scanning technology can effectively realize the surveying and mapping of building facades, which is well worthy of promotion.
    Application of unmanned aerial vehicle airborne LiDAR in large scale topographic mapping of coastal beach
    GUO Chunhai, ZHANG Yingming, DING Zhongming
    2019, 0(9):  155-158.  doi:10.13474/j.cnki.11-2246.2019.0306
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    Taking the annual monitoring of Baimaosha regulation building project of 12.5 m deep-water channel project from Nanjing in the Yangtze River as an example, with UAV aerial photography and airborne LiDAR technology, this paper introduces the key technologies of acquiring large scale and high precision geographic information data of beach. This case study shows that the use of UAV equipped with digital cameras and LiDAR for data acquisition has obvious advantages in the acquisition of high-resolution images and ground elevation data in small areas and difficult areas. It provides a new way for engineering mapping in the development of coastal beach. Moreever, it is an efficient and fast technical means.
    Application on large-scale water conservancy projects and BIM construction by FEIMA F200 UAV
    JIA Zhile
    2019, 0(9):  159-162.  doi:10.13474/j.cnki.11-2246.2019.0307
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    With the rapid development of UAV technology, the single result of traditional surveying achievement can not meet requirements of the water engineering design and planning. Based on the application of FEIMA F200 UAV in Xinyang Yuanwan Reservoir, this paper explores and validates a high precision aerial survey and mapping method, and on this basis, integrates BIM-based monolithic model, realizes the application and analysis of large-scale water conservancy projects based on 3D scene in the research stage, and provides data support for the construction of intelligent water conservancy.