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基于CASE推理的多时相星载SAR影像分类
引用本文:陈富龙, 王超, 张红, 吴樊. 基于CASE推理的多时相星载SAR影像分类[J]. 武汉大学学报 ( 信息科学版), 2008, 33(11): 1154-1157.
作者姓名:陈富龙  王超  张红  吴樊
作者单位:1中国科学院遥感应用研究所遥感科学国家重点实验室,北京市大屯路甲20号100101;2中国科学院研究生院,北京市玉泉路甲19号,100049;3中国科学院对地观测与数字地球科学中心,北京市海淀区北三环西路45号,100086
摘    要:提出了一种基于案例(CASE)推理的多时相SAR影像分类方法。选用北京地区2000年(4景)和2004年(3景)的多时相Radarsat-1 SAR影像及相应地理基础分类图作为数据进行实验,结果表明,该方法能得到较好的SAR影像分类结果,分类总体精度可望达到85%。

关 键 词:CASE推理  多时相SAR  分类
收稿时间:2008-09-25
修稿时间:2008-09-25

Multi-temporal SAR Images Classification Using Case-Based Reasoning
CHEN Fulong, WANG Chao, ZHANG Hong, WU Fan. Multi-temporal SAR Images Classification Using Case-Based Reasoning[J]. Geomatics and Information Science of Wuhan University, 2008, 33(11): 1154-1157.
Authors:CHEN Fulong  WANG Chao  ZHANG Hong  WU Fan
Affiliation:1State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications of Chinese Academy of Sciences,20A Datun Road,Beijing 100101,China;2Graduate School,Chinese Academy of Sciences,19A Yuquan Road,Beijing 100049,China;3Center for Earth Observation and Digital Earth,Chinese Academy of Sciences,45 West Beisanhuan Road,Beijing 100086,China
Abstract:A case-based reasoning(CBR) methodology is studied for the classification of multi-temporal SAR images with the ancillary information.Multi-temporal Radarsat-1 fine-mode SAR images ranged from 2000 to 2004 are used in the experiments.The study site is located in the south of the city zone of Beijing,China;and the area can be primarily characterized by six categories of land covers,they are plow land,woodland,pasture,residential areas,water body and other land.The results of the method show the classification accuracy can achieve up to 85%.
Keywords:case-based reasoning  multi-temporal SAR  classification
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