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《Remote Sensing for Land & Resources》 2009-03
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REMOTE SENSING CHANGE DETECTION BY INCLUSION OF MULTITEMPORAL TEXTURE

LI Shu-kun1,LI Pei-jun1,CHENG Tao2(1.Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China;2.Department of Earth and Atmosphere,University of Alberta Edmonton,Alberta T6G2R3,Canada)  
Change detection based on remote sensing is one of the important aspects in remote sensing application.Traditional remote sensing change detection methods usually use spectral information alone and ignore the correlation between multitemporal images.This paper proposes to quantitatively express the temporal correlation between multitemporal images by multivariate texture,which is measured by pseudo cross variogram,a geostatistical tool.The obtained multitemporal texture,as an additional band,is incorporated into multitemporal classification for change detection.The results show that,compared with the result of using spectral information alone,the inclusion of multitemporal classification in change detection can significantly improve the overall accuracy.The experimental results also validate the effectiveness of the proposed method.
【CateGory Index】: TP751
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 LONG Xuanyao,LI Peijun(Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China);A Method of Urban Change Detection Based on Image Segmentation[J];Geo-Information Science;2008-01
2 SONG Cui-yu~1,LI Pei-jun~2,YANG Feng-jie~1(1.College of Geo-Information Science and Engineering,Shandong University of Science & Technology,Qingdao 266510,China;2.Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China);THE APPLICATION OF MULTISCALE IMAGE TEXTURE TO THE DETECTION OF URBAN EXPANSION[J];Remote Sensing for Land & Resources;2006-03
【Co-citations】
Chinese Journal Full-text Database 5 Hits
1 CHEN Chen,ZHANG You-jing(School of Civil engineering,Hohai University,Nanjing 210098,China);The classification of SVM based on the multi-scale texture information and spectral information[J];Science of Surveying and Mapping;2009-01
2 ZHANG Yuan①, CHEN Liang①, WANG Wen-zhong①,WANG Jun-zhan②(①State Key Laboratory Of Hydrology-Water Resource And Hydraulic Engineering of Hohai University, Nanjing 210098,China; ②College of Civil Engineering, Hohai University, Nanjing 210098,China);Multi-source feature data selection for land cover classification using remote sensing image[J];Science of Surveying and Mapping;2009-02
3 LONG Xuanyao,LI Peijun(Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China);A Method of Urban Change Detection Based on Image Segmentation[J];Geo-Information Science;2008-01
4 HE Yu-ting,KE Chang-qing(Department of Geography Information Science,Nanjing University,Nanjing 210089,China);Application of Semivariogram Texture Distilling for Remote Sensing Image Classification[J];Remote Sensing Technology and Application;2008-05
5 MA DeFeng LI PeiJun~(**) Institute of Remote Sensing and GIS,School of Earth and Space Sciences,Peking University,Beijing 100871,China;The use of multiscale texture in image classification for lithologic mapping.[J];Acta Petrologica Sinica;2008-06
【Secondary Citations】
Chinese Journal Full-text Database 6 Hits
1 WANG Lin, XU Hanqiu, LI Sheng(College of Environment and Resources, Fuzhou University, Fuzhou, Fujian 350002, China);Dynamic Monitoring of the Urban Expansion in Fuzhou of SE China Using Remote Sensing Technology[J];Geo-Information Science;2006-04
2 CAO Dai_yong 1, SHI Xian_zhong 1, ZHANG Jing_fa 2 (1.China University of Mining and Technology, Beijing 100083, China; 2.Institute of Crustal Dynamics, State Seismological Bureau, Beijing 100085, China);STUDY ON THE STATISTICAL CHARACTERISTICS OF SEISMIC DISASTER INFORMATION OF BUILDING IN REMOTE SENSING IMAGE[J];Remote Sensing For Land & Resources;2001-01
3 HUANG Ying-duan 1, LI Pei-jun 1, LI Zheng-xiao 2(1.Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China; 2.Geomatic Engineering, School of Civil Engineering, Purdue University, IN 47907-1284 U.S.A.);THE APPLICATION OF GEOSTATISTICAL IMAGE TEXTURE TO REMOTE SENSING LITHOLOGICAL CLASSIFICATION[J];Remote Sensing For Land & Resources;2003-03
4 ZHU Jun-jie, GUO Hua-dong, FAN Xiang-tao, ZHU Bo-qin (Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China);THE APPLICATION OF THE WAVELET TEXTURE METHOD TO THE CLASSIFICATION OF SINGLE-BAND, SINGLE-POLARIZED AND HIGH-RESOLUTION SAR IMAGES[J];Remote Sensing For Land & Resources;2005-02
5 SONG Cui-yu~1,LI Pei-jun~2,YANG Feng-jie~1(1.College of Geo-Information Science and Engineering,Shandong University of Science & Technology,Qingdao 266510,China;2.Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China);THE APPLICATION OF MULTISCALE IMAGE TEXTURE TO THE DETECTION OF URBAN EXPANSION[J];Remote Sensing for Land & Resources;2006-03
6 WU Gao-hong, ZHANG Yu-jin, LIN Xing-gang (Department of Electronic Engineering, Tsinghua University, Beijing 100084);Texture Segmentation with Wavelet Transform and Feature Weighting[J];Journal of Image and Graphics;2001-04
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