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《Science of Surveying and Mapping》 2016-01
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Change detection of multi-temporal remote sensing images using minimum cross-entropy

HUANG Kefeng;YU Xueqin;HUANG Liang;Kunming Surveying and Mapping Institute;Faculty of Land Resource Engineering,Kunming University of Science and Technology;  
Aiming at the insufficiency of efficient determination on the change threshold in multi-temporal remote sensing image change detection,the paper proposed an algorithm based on minimum cross-entropy:first,the noise in bi-temporal remote sensing images was eliminated respectively by median filtering method;and the ratio method merged with the difference method was used to obtain the difference image for the multi-temporal remote sensing image;then the best change threshold of the difference image was determined by minimum cross entropy method,and the difference image was segmented to obtain the change regions;finally,the accuracy of change detection was evaluated.Experimental result showed the feasibility of the method with high precision.
【Fund】: 云南省教育厅科学研究基金项目(2013J062);; 云南省博士研究生学术新人奖支持项目
【CateGory Index】: P237
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 DU Peijun1,2,LIU Sicong2 1.Department of Geographic Information Science,Nanjing University,Nanjing 210093,China; 2.Key Laboratory for Land Environment and Disaster Monitoring,State Bureau of Surveying and Mapping of China, China University of Mining and Technology,Xuzhou 221116,China;Change detection from multi-temporal remote sensing images by integrating multiple features[J];Journal of Remote Sensing;2012-04
【Co-citations】
Chinese Journal Full-text Database 8 Hits
1 JIAN Can-liang;ZHAO Bin-bin;DENG Min;YU Li-yu;State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing,Wuhan University;Department of Geo-informatics,Central South University;Fujian Provincial Geomatics Center;;An Approach to Change Detection by Comparison of Corresponding Objects in Multi-scale Maps[J];Geography and Geo-Information Science;2013-05
2 LI Qiang;;Application of Change Detection Technology in Earthquake Damage Information Extraction[J];Geospatial Information;2014-02
3 LIU Mingxu;;Review of SAR Image Change Detection[J];Geospatial Information;2014-03
4 LI Liang;SHU Ning;WANG Kai;GONG Yan;The Third Academy of Engineering of Surveying and Mapping;School of Remote Sensing and Information Engineering,Wuhan University;;Change Detection Method for Remote Sensing Images Based on Multi-features Fusion[J];Acta Geodaetica et Cartographica Sinica;2014-09
5 QUAN Wei-peng;LI Wei-hua;LI Xiao-chun;School of Information and Navigation,Air Force Engineering University;;Detecting the Change of High-Resolution Remote Sensing Images by Adaptive Multi-Feature Fusion[J];Electronics Optics & Control;2015-03
6 WANG Dongchen;DU Peijun;SU Hongjun;XIE Xiangjian;Key Laboratory for Satellite Mapping Technology and Applications of State Administration of Surveying,Mapping and Geoinformation of China,Nanjing University;Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology,Nanjing University;School of Earth Sciences and Engineering,Hohai University;;Land use / Land cover changes in Datong based on remote sensing data[J];Journal of Arid Land Resources and Environment;2015-07
7 LIN Zhilei;YAN Luming;College of Geographical Sciences, Fujian Normal University;;Best fusion method of hyperspectral and panchromatic imagery based on Earth Observing-1 satellite[J];Journal of Computer Applications;2014-08
8 LI Chang;XIONG Hao;TAO Shunyong;HAN Zhenkun;Hubei Province Key Laboratory for Geographical Process Anlayzing and Modeling,Central China Normal University;Key Laboratory of Disaster Reduction and Emergency Response Engineering of the Ministry of Civil Affairs;College of Urban and Environmental Science,Central China Normal University;;Quantitative change detection of vegetation and three-dimensional terrain for geographical disaster areas from optical stereopair images[J];Journal of Remote Sensing;2014-06
【Secondary Citations】
Chinese Journal Full-text Database 6 Hits
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3 FANG Shenghui 1 DIAN Yuanyong 1 LI Wei 1(1 School of Remote Sensing and Information Engineering, Whuhan University, 129 Luoyu Road, Wuhan 430079, China);Change Detection Based on Both Edges and Gray[J];Editorial Board of Geomatics and Information Science of Wuhan University;2005-02
4 WANG Min1, 2, ZHANG Xingyue1 1. Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Jiangsu Nanjing 210046, China; 2. State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China;Change detection using high spatial resolution remotely sensed imagery by combining evidence theory and structural similarity[J];Journal of Remote Sensing;2010-03
5 LI Song①,②,LI Yiqiu③,④,AN YU-Lun②(① State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101;② School of Geographical and Environmental Sciences Guizhou Normal University,Guiyang Guizhou 552100;③ Institute of GIS,RS & GPS,Beijing Forestry University,Beijing 100083;④Department of Resource and Environmental Sciences Mian Yang Normal University,Mianyang 621000);Automatic Recognition of Landslides Based on Change Detection[J];Remote Sensing Information;2010-01
6 TANG Pu-qian,YANG Jian-yu,ZHANG Chao,ZHU De-hai,SU Wei(College of Information & Electronics Engineering,China Agricultural University,Beijing 100083);An Object-oriented Post-classification Remote Sensing Change Detection after the Pixel Ratio[J];Remote Sensing Information;2010-01
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