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《Journal of Earth Sciences and Environment》 2010-03
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Study on Wetland Cover Information Extraction Based on ALOS Remote Sensing Image

YU Huan1,ZHANG Shu-qing2,ZHAO Jun3,WANG Xiu-feng4 (1.School of Earth Sciences,Chengdu University of Technology,Chengdu 610059,Sichuan,China;2.Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130012,Jilin,China;3.Center of Agricultural Technology,Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Harbin 150081, Heilongjiang,China;4.Faculty of Agriculture,Hokkaido University,Sapporo 060-8589,Hokkaido,Japan)  
In order to verify the feasibility of wetland cover information extraction for ALOS remote sensing image,classic inland freshwater wetland in Sanjiang Plain was taken as an example,spectral and textural characteristics of the image were analyzed,and classification characteristics of different cover types were discussed.Based on the methods of unsupervised,supervised and object-oriented classifications,the optimum combination of characteristics was selected to provide references for the data and method selections of wetland cover classification.The results showed that the accuracy with unsupervised,supervised and object-oriented classifications reached 63.86%,96.14% and 85.26%,respectively;characteristics were poor by means of unsupervised classification;the accuracy with object-oriented classification was very high,but construction,wood and grass cover types were differentiated difficultly;supervised classification was very suitable for wetland cover information extraction.
【Fund】: 国家科技基础条件平台项目(2006DKA32300-04);; 国家“十一五”科技支撑计划重点项目(2006BAD23B03)
【CateGory Index】: Q14
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