Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Science of Surveying and Mapping》 2015-01
Add to Favorite Get Latest Update

Comparison among four land cover change detection methods using pixel spectral information

ZHOU Xiao-guang;ZENG Lian-bing;YUAN Yu-cai;SONG Zheng-xiang;LI Fei;School of Geosciences and Info-Physics,Central South University;  
There are several change detection methods for remote sensing imagery.Among these methods,differencing,NDVI(Normalized Difference Vegetation Index),ratioing,and PCA(Principal Components Analysis),are the most popular change detection methods that utilize the pixel-by-pixel spectral information.Thus the comparison among these four methods was done from the updating perspective in this paper.The accuracy of each detection method was analyzed at first;then the sameness and difference among the result imagery of the four detection methds were presented;the accuracy of the reasonable combination methods was explored for the accuracy change detection of land cover using 30 mresolution imagery at last.The experiments showed that some reasonable combination methods could provide better change detection result than any single method for the change detection of land cover.The all changed pixels detected by these four methods were included in the result imagery of NDVI union PCA union ratioing,and the producer's accuracy achieved the best in the experiment.Therefore,the combination method union NDVI,PCA and ratioing would be the most appropriate method for the land cover change detection using 30 m TM imagery in updating application.
【Fund】: 国家高技术研究发展计划(863计划)重点项目(2009AA122004);; 国家自然科学基金项目(41371366);; 十二五科技支撑计划项目(2012BAK12B01-2)
【CateGory Index】: TP751
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 HUANG Xue-feng et al(Economics and Management College,Sichuan Agricultural Unviersity,Yaan,Sichuan 625014);Study on NDVI Changes in Sichuan Basin Based on Landsat[J];Journal of Anhui Agricultural Sciences;2009-07
2 GUAN Feng-ying et al (Key Laboratory of Bamboo and Rattan,International Centre for Bamboo and Rattan,Beijing 100102);Study on the Extraction Methods of Remote Sensing Information of Bamboo Forest[J];Journal of Anhui Agricultural Sciences;2010-08
3 LI Hai-bo et al(College of Population Resource and Environment,Shandong Normal University,Jinan,Shandong 250014);Ecological Security Assessment of Sewage Irrigation Area[J];Journal of Anhui Agricultural Sciences;2012-03
4 MA You-ping~(1,2);FENG Zhong-ke~1;HE You-jun~3;ZHANG Zhi-hua~4.1 Institute of GIS,RS & GPS,Beijing Forestry University,100083,P.R.China;2 School of Biological Sciences and Biotechnology,Hubei Institute for Nationalities,Enshi City,445000,P.R.China;3 Research Institute of Forestry Policy and Information,Chinese Academy of Forestry,Beijing,100091,P.R.China;4 The Postgraduate Department,Southwest Forestry College,Kunming,650224,P.R.China.;QuickBird image fusion using ERDAS IMAGINE software.[J];Journal of Beijing Forestry University;2007-S2
5 WU Jian,PAN Jun,XING Li-xin,LIU An-tao College of GeoExploration of Science and Technology,Jilin University, Changchun 130026,China;Distilling Type Information of Vegetation Based on Slight Subarea[J];Journal of Jilin University(Earth Science Edition);2007-S1
6 HE Fen-qin1,HE Zheng-wei2,3, HU Zhen-qi1,YIN Jian-zhong4,FANG Shi-bo51.Institute of Land Reclamation and Ecological Restoration,China University of Mining and Technology,Beijing 100083,China;2.Institute of Digital Land and Ecological Science,Chengdu University of Technology,Chengdu 610059,China;3.Beijing Municipal Key Laboratory for Resource Environment and Geographic Information System,Captial Normal University,Beijing 100037,China; 4.State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;5.Institute of Botany,CAS,Beijing 100093,China;Automatic detection of land cover change based on modified principal component analysis method[J];Journal of Chengdu University of Technology(Science & Technology Edition);2007-01
7 WEI Cong-ling1,FU Li-ping2 (1.College of Geography Science,Southwest University,Chongqing 400715,China;2.Dept.of Information Engineering,Henan Economic Management School,Nanyang 473000,China);The comparative research of initializing cluster centers for unsupervised classification[J];Engineering of Surveying and Mapping;2009-01
8 PENG Wen-fu①②,HE Zheng-wei①,ZHOU Jie-ming②,XU Hui-xi①,YIN Jinag-tao①,YANG Bin①,YANG Ynag①(①Chengdu University of Technology Ministerial Key Lab of Land and Resources Information and Applied Technology Chengdu 610059;②The institute of geography and resources science Sichuan Normal University,Chengdu 610068);Analysis on RS image interpretation of land use renew investigation in Shiping county,Yunnan province[J];Science of Surveying and Mapping;2007-06
9 GONG Han-hua①②,DING Chi-biao①,ZHANG Xin①,LEI Bin①(①Institute of Electronics,Chinese Academy of Sciences,Beijing 100080,China;②Graduate University of the Chinese Academy of Sciences,Beijing 100039,China);A new approach to SAR image visual enhancement based on image hierarchical fusion[J];Science of Surveying and Mapping;2008-03
10 GAO Chun-xiang YU Feng-ming ZHUO Yi①Inner Mongolia Climate Center,Hohehot 010051,China;②Remote Sensing and Geography Information System,Hohehot 010022,China;Accurate comment of Landsat7-ETM+image automatic interpreter supported by various methods[J];Science of Surveying and Mapping;2008-S1
China Proceedings of conference Full-text Database 2 Hits
1 TIAN Hong-wei, ZHAO Hui-jie (Beijing University of Aeronautics & Astronautics, Beijing 100083, China);High order statistics based anomaly detection research for hyperspectral remote sensing[A];[C];2005
2 ;BP neural network usedin classfication of land cover[A];[C];2007
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved