Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Geomatics》 2010-03
Add to Favorite Get Latest Update


ZHANG Jun WANG Baoshan ZHANG Zhiqiang(3 Topographic Survey Team of SBSM,2 Ceihui Road Nangang District,Hrbin 150081,China)  
The object-oriented classification method was used to extract land use/land cover information from high spatial resolution remote sensing images,and the results were compared with the traditional information extraction method.The classification results were easier to understand and interpretative.Overall precision,Kappa,producer precision,user precision,Hellden precision and Short precision of object-oriented classification are better than that of traditional classification method.These experiments show that the object-oriented method is superior to traditional method in high resolution remote sensing information extraction.
【Fund】: 国家自然科学基金资助项目(50534050);; 国家自然科学基金资助项目(50774080)
【CateGory Index】: TP751
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 3 Hits
1 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
2 ZHU Guobin 1 (1 The Research Center of Spatial Information & Digital Engineering, Wuhan University, 129 Luoyu Road, Wuhan, China, 430079);Remote Sensing Image Analysis Based on Hierarchical Multi-resolution Structures[J];Editorial Board of Geomatics and Information Science of Wuhan University;2003-03
3 CHEN Qiu xiao, LUO Jian cheng, ZHOU Cheng hu, ZHENG Jiang, LU Xue jun, SHEN Zhan feng (1. State Key Lab of Resources & Environment Information System, Chinese Academy of Sciences, Beijing\ 100101, China; 2. Department of Regional and Urban Planning, Zhejiang University, Hangzhou\ 310028, China);Classification of Remotely Sensed Imagery Using Multi-features Based Approach[J];Journal of Remote Sensing;2004-03
Chinese Journal Full-text Database 10 Hits
1 LI Bai-shou①,QIN Qi-ming①,XU Jun-qiang②,ZHANG Wan-feng③,YAO Yun-jun①(①School of Earth and Space Sciences , Peking University, Beijing 100871;②The No.27 Institute, China Electron Science and Technology Grou PCorporation, Zhengzhou 450005;③College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026 );The design and implementation of expert system for linear texture understanding of remote sensing image[J];Science of Surveying and Mapping;2008-02
2 LIU Chang-juan,YANG Min-hua,ZHANG Xiu-ying(School of info-physic engineering,Central South University,Chang sha 410083,China);The application of classification method based on object-oriented in the construction of land use database[J];Science of Surveying and Mapping;2009-01
3 WANG Jian(Korle Tiantuo Institute of Geotechnical Investigation Surveying and Mapping,9 East Renmin Road,Korle 841000,China);OBJECT-ORIENTED IMAGE CLASSIFICATION AND ACCURACY ASSESSMENT[J];Journal of Geomatics;2008-02
4 HU Wenyuan1 NIE Qian2 HUANG Xiaochuan2(1 Institute of Shanxi Surveying and Mapping,9 Yuchi Street,Taiyuan 030002,China;2 School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China);A METHOD FOR CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTELY SENSED IMAGES BASED ON TEXTURE AND SPECTRAL INFORMATION[J];Journal of Geomatics;2009-01
5 TONG Lei,ZOU Zheng-rong(School of Info-Physics and Geomatics Engineering,Central South University,Changsha 410083,China);Research on Urban Land Use Information Extraction Based on High-Resolution Satellite Image[J];Geomatics & Spatial Information Technology;2009-02
6 WU Jun-ping,MAO Zhi-hua,CHEN Jian-yu,PAN De-lu(Second Institute of Oceanography,SOA,Laboratory of Ocean Dynamic Processes and Satellite Oceanography,SOA,Hangzhou 310012,China);A new classification method for coast remote sensing image[J];Journal of Marine Sciences;2006-02
7 ZHU Guo-bin1,LIU Xiao-li2,LI Qing-quan2(1.International School of Software,Wuhan University,Wuhan 430079;2.State Key Laboratory of Information Engineering in Surveying,Mapping & Remote Sensing,Wuhan University,Wuhan 430079,China);Multi-level Hierarchical Representation for Digital Images Based on Cell Complexes[J];Geography and Geo-Information Science;2008-06
8 WU Jun-ping,MAO Zhi-hua,CHEN Jian-yu,BAI Yan,CHEN Xiao-dong,PAN De-lu(Key Lab of Ocean Dynamic Processes and Satellite Oceanography,State Oceanic Administration,Hangzhou 310012,China);A METHOD FOR CLASSIFICATION OF COASTAL ZONE REMOTELY SENSED IMAGES BY ADDING SPACE INFORMATION[J];Remote Sensing for Land & Resources;2006-03
9 Lin Wenjuan~1 Chen Yunhao~1 Wang Zhao~2 Fung Tung~31 College of Resources Science and Technology, Beijing Normal University, Beijing 1008752 Aeromatex Inc., Beijing 1000373 Department of Geography & Resource Management, The Chinese University of Hong Kong, Hong Kong;An Image Fusion Method Based on Object-Oriented Image Classification[J];Acta Optica Sinica;2006-03
10 ZHANG Yanling1,2,FENG Fengying2,YAN Haowen1 (1.School of Math,Physics and Software Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;2.School of Resource Environments and Tourism,Anyang Normal University,Anyang 455000,China);Method for Extracting Farmland Information from High Resolution Satellite Image[J];Geospatial Information;2010-01
China Proceedings of conference Full-text Database 2 Hits
1 Ma Li~(1,2),Xu Xingang~(1※),Jia Jianhua~2,Huang Wenjiang~1,Liu Liangyun~1,Cheng Yipei~2 (1.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China; 2.Department of Survey Engineering,Xi 'an University of Science & Technology,Xi 'an 710054,China);Crop classification method using multi-temporal TM images[A];[C];2008
2 QIN Maoyun He Yiming (HaiKou Survey Mapping Service Center, HaiNan, China, 570105);High Spatial Resolution Remote Sensing Images Segmentation Based On Granularity[A];[C];2010
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 LUO Jian cheng 1, YEE Leung 2, ZHOU Cheng hu 1 (1. LREIS,Institute of Geography, CAS, Beijing, 100101; 2. Department of Geography, The Chinese University of Hong Kong,Hong Kong);Scale Space Based Hierarchical Clustering Method and its Application to Remotely Sensed Data Classification[J];ACTA GEODAETICA ET CARTOGRAPHIC SINICA;1999-04
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved