基于地形区域分割的复杂地区遥感影像分类
Classification of Imagery in Rugged Terrain Based on Topographical Area Segmentation
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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。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.
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