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基于地形区域分割的复杂地区遥感影像分类
引用本文:黄微,张良培,李平湘.基于地形区域分割的复杂地区遥感影像分类[J].武汉大学学报(信息科学版),2007,32(9):791-795.
作者姓名:黄微  张良培  李平湘
作者单位:武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079
基金项目:国家重点基础研究发展计划(973计划);国家自然科学基金
摘    要:提出了一种基于地形区域分割的分类方法,在影像中利用地形特征数据预先划分出每种地物的分布区域,然后以区域为基本单位对影像进行分类,同时利用DEM数据对影像进行地形校正,减小了同种地物内部由于地形起伏造成的光谱离散的现象。利用湖北西部山区的TM影像和DEM数据的试验证明,利用地形特征数据进行分割的分类方法与仅考虑光谱特征的分类方法相比较,分类精度有了明显的提高。

关 键 词:影像分类  地形分割
文章编号:1671-8860(2007)09-0791-05
修稿时间:2007-06-26

Classification of Imagery in Rugged Terrain Based on Topographical Area Segmentation
HUAGN Wei,ZHANG Liangpei,LI Pingxiang.Classification of Imagery in Rugged Terrain Based on Topographical Area Segmentation[J].Geomatics and Information Science of Wuhan University,2007,32(9):791-795.
Authors:HUAGN Wei  ZHANG Liangpei  LI Pingxiang
Institution:State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China
Abstract:A classification method based on topographical area segmentation is proposed.In the method,the disturbed areas of objects are divied by topographical features and the area-based classification with MLC is applied in the image.Meanwhile,the topographical comection with DEM data is adopted in order to decreasing the scattev of spectrum in the same or the similar objects caused by irregular terrain.The experiment by a landsat image in west of Hubei province proved that the results of area-based classification have obvious improved than that of the traditional spectral classification.
Keywords:DEM
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