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《Science of Surveying and Mapping》 2008-S3
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Accurate comment of Landsat7-ETM+image automatic interpreter supported by various methods

GAO Chun-xiang,YU Feng-ming,ZHUO Yi(①Inner Mongolia Climate Center,Hohehot 010051,China; ②Remote Sensing and Geography Information System,Hohehot 010022,China)  
The experiment by merging various algorithm of ETM+ image,besides applying the nowadays merging methods(PCA、MLT) of ERDAS software,It also make use of IDL program to reach the merging algorithm of SFIM、HPF、MB. Through revising the size of the filter window of SFIM、HPF、MB merging algorithm and the experiment of arithmetic operators,the ETM+ Image can reach the merging effect of no noise and clear image veins. By using the same surface features sample and different way of supervised classification including the minimum distance classification,mahalanobis distance classification,maximum likelihood classification and spectral angle mapper classification. According to the standard data to the survey of Inner Mongolia remote sensing surface supplied by the Lab of Remote Sensing and Geographic Information System of Inner Mongolia,using the two exponents of overall accuracy and kappa coefficient to reflect and to comment objectively the accurate classification by compounding the various merging algorithm and the different methods of classification.
【CateGory Index】: TP751
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 XU Han-qiu ( College of Environment and Resources, Fuzhou University, Fuzhou 350002, China);Study on Data Fusion and Classification of Landsat 7 ETM + Imagery[J];Journal of Remote Sensing;2005-02
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 ZHANG Hai-xia et al (School of Environment and Mapping,China University of Mining & Technology,Xuzhou,Jiangsu 221008);Study on the Accuracy of Land Cover Classification of ETM+ Remote Sensing Image Fusion Method[J];Journal of Anhui Agricultural Sciences;2008-01
2 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
3 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
4 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
5 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
6 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
7 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
8 ZHANG Qing-he1,ZOU Zheng-rong1,YU Jia-yong1,2(1.School of Info-Physicand Geomatics Engineering,Central South University,Changsha 410083,China;2.College of Civil Engineering,Hunan University,Changsha 410082,China);Research on the fixel fusion methed of remote sensing image[J];Engineering of Surveying and Mapping;2008-04
9 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
10 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
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
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 CHEN De chao, ZHOU Hai bo, CHEN Zhong yuan, WU Jian ping (East China Normal University, Urban & Environmental Remote Sensing Open Laboratory, Shanghai 200062, China);Study on Fusion Algorithms of TM and SPOT Images[J];Remote Sensing Technology and Application;2001-02
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