Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Geospatial Information》 2014-01
Add to Favorite Get Latest Update

Research on Land Cover Classification in Geographical National Conditions Survey Based on Multiple Methods

HU Yan;  
Taking Yongchuan district of Chongqing as a pilot, aerial photograph of 0.5 m resolution as the main image source, this paper used the method of image segmentation with man-machine interactive interpretation, the method based on rule to realize the automatic interpretation of aerial photograph, the method of manmachine interactive interpretation completely to accomplish land cover classification data acquisition. And then, this paper reviewed and summarized those methods. Thus it provided useful suggestions for the content, index and technical standards of geographical national conditions survey, accumulated experience and provided solutions for the geographical national conditions survey of Chongqing.
【Fund】: 重庆市科委科技项目(CSTC 2009CB2015)
【CateGory Index】: P20
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 4 Hits
1 QIAO Chaofei;Review of Overseas National Geographic Conditions Monitoring[J];Bulletin of Surveying and Mapping;2011-11
2 XU Hui ZHANG Kun;Brief Introduction to National Geographic Conditions Monitoring in China and USA[J];Standardization of Surveying and Mapping;2012-04
3 LIU Zhaoyi;LI Xinhui;SHEN Runping;ZHU Feng;ZHANG Kai;WANG Tian;WANG Yuanyuan;School of Atmospheric Physics, Nanjing University of Information Science and Technology;School of Remote Sensing, Nanjing University of Information Science and Technology;College of Global Change and Earth System Sciences, Beijing Normal University;Unit 94940 of PLA, China;School of Atmospheric Sciences, Lanzhou University;Institute of Atmospheric Physics, Chinese Academy of Sciences;;Selection of the best segmentation scale in high-resolution image segmentation[J];Computer Engineering and Applications;2014-06
4 LI Deren1 SUI Haigang1 SHAN Jie2(1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China)(2 School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China);Discussion on Key Technologies of Geographic National Conditions Monitoring[J];Geomatics and Information Science of Wuhan University;2012-05
Chinese Journal Full-text Database 10 Hits
1 SUN Liangjun;An Exploration and Practice for the Framework of National Geographic Conditions Monitoring——Taking the Urbanization Monitoring System as an Example[J];Bulletin of Surveying and Mapping;2012-08
2 WANG Hua;Research on Lightning Monitoring System Based on the Geo-spatial Framework[J];Geospatial Information;2012-04
3 XIE Hongquan;Thoughts on Talents Cultivation of Surveying and Mapping under the Background of Geographic National Conditions Monitoring[J];Bulletin of Surveying and Mapping;2013-05
4 ZUO Shilei;Investigation of Wetland Resources of Zhejiang Province: Research and Implementation[J];Bulletin of Surveying and Mapping;2013-07
5 LI Jiansong;;Acquaintance of Issues on Geographical Conditions Monitoring[J];Geospatial Information;2013-05
6 LIU Qian;ZHOU Xu;TAO Shu;National Geomatics Center of China;;A Study on Geographic National (Urban) Conditions Monitoring Policy of Beijing[J];Geomatics World;2013-06
7 DAI Jiping;;On Statistical Map of National Geographic Conditions Investigation[J];Standardization of Surveying and Mapping;2013-04
8 WU Manyi;TIAN Huaiqi;;Efficieney Test towards Parallel Processing Technology for Massive Image : Use Image Processing from National Geographic Conditions Investigation as Case[J];Standardization of Surveying and Mapping;2013-04
9 ZENG Wei;LI Delong;Chinese Academy of Surveying and Mapping;;Discuss on Applications of UAV in Emergency Monitoring of Geographic National Conditions[J];Geomatics World;2013-05
10 YU Jinsongdi;WU Sheng;Spatial Information Research Center, Fujian Province, Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University;;Research Progress of Array Analytics towards Big Data[J];Journal of Geo-Information Science;2013-06
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 GUO Jiancong 1 , LI Peijun 1,XIAO Xiaobai2 1Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing 100871; 2Autodesk Design Software (Shanghai) Co., Ltd, Shanghai 200001;;A Hierarchical Segmentation Method for Multispectral Imagery[J];Acta Scientiarum Naturalium Universitatis Pekinensis;2008-03
2 GONG Jianya,CHEN Jing,XIANG Longgang,XIONG Hanjiang,WU Huayi,WANG Yandong State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;GeoGlobe:Geo-spatial Information Sharing Platform as Open Virtual Earth[J];Acta Geodaetica et Cartographica Sinica;2010-06
3 He Min,Zhang Wenjun and Wang Weihong(College of Environment and Resource,Southwest University of Science and Technology,Mianyang621010);OPTIMAL SEGMENTATION SCALE MODEL BASED ON OBJECT-ORIENTED ANALYSIS METHOD[J];Journal of Geodesy and Geodynamics;2009-01
4 HU Wen-liang1,ZHAO Ping2,DONG Zhang-yu1(1.Key Laboratory of GIS at School of Territorial Resources and Tourism,Anhui Normal University,Wuhu 241000;2.School of Resources and Environmental Engineering,Hefei University of Technology,Hefei 230009,China);An Improved Calculation Model of Object-Oriented for the Optimal Segmentation-Scale of Remote Sensing Image[J];Geography and Geo-Information Science;2010-06
5 WATANABE Masataka 1 , WANG Qinxue 1 , HAYASHI Seiji 1 , MURAKAMI Shogo 1 ,LIU Jiyuan 2 , ZHANG Xiaolei 3 , ZHAO Xinquan 4 , WANG Kelin 5 (1. National Institute for Environmental Studies, Tsukuba305-8506, Japan; 2. Institute of Geographic Sciences and Natural Resources Research, CAS,Beijing100101,China; 3. Xinjiang Institute of Geography and Ecology, CAS,Urumqi830011,China;(4. Northwest Institute of Plateau Biology, CAS, Xining810001, China; 5. Institute of Subtropical Agricultural Ecology,CAS, Changsha410125, China);A Methodology of Integrated Environmental Monitoring:A Review on Researches of APEIS Project[J];Acta Geographica Sinica;2004-01
6 ZHANG Jun1, WANG Yunjia2, LI Yan2, WANG Xingfeng2 1. No.3 Topographic Survey Team, State Bureau of Surveying and Mapping, Harbin 150081, China 2. School of Environment & Spatial Informatics, China University of Mining and Technology, Xuzhou 221008, Jiangsu Province, China;An Object-Oriented Optimal Scale Choice Method for High Spatial Resolution Remote Sensing Image[J];Science & Technology Review;2009-21
7 LI Deren 1 SHAO Zhenfeng 1 ZHU Xinyan 1(1 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan University, 129 Luoyu Road, Wuhan 430079, China );Spatial Information Multi-grid and Its Typical Application[J];Editorial Board of Geomatics and Information Science of Wuhan University;2004-11
8 BO Shukui1HAN Xinchao2DING Lin3(1Department of Computer Science & Application,Zhengzhou Institute of Aeronautical Industry Management,2 Middle Daxue Road,Zhengzhou 450015,China)(2Department of Computer Science and Technology,Zhongyuan University of Technology,41 Middle Zhongyuan Road,Zhengzhou 450007,China)(3Institute of Remote Sensing Applications,Chinese Academy of Sciences,20A Datun Road,Beijing 100101,China);Automatic Selection of Segmentation Parameters for Object Oriented Image Classification[J];Geomatics and Information Science of Wuhan University;2009-05
9 YU Huan1),2),ZHANG Shu-qing1),KONG Bo3),LI Xiao-feng1) 1)(Northeast Institute of Geography and Agricultural Ecology,Chinese Academy of Science,Changchun 130012)2)(Graduate School,Chinese Academy of Sciences,Beijing 100049)3)(Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041);Optimal Segmentation Scale Selection for Object-oriented Remote Sensing Image Classification[J];Journal of Image and Graphics;2010-02
10 Zhang Yujin(Department of Electronic Engineering, Tsinghua University,Beijing 100084)(The Institute of Artificial Intellingence & Pattern Recogntiton,Shantou University,Shantou 515063);A Classification and Comparison of Evaluation Techniques for Image Segmentation[J];JOURNAL OF IMAGE AND GRAPHICS;1996-02
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved