Evaluation of speckle filtering and texture analysis methods for land cover classification from SAR俞敏洪励志演讲视频>专业日语翻译
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期刊名称： International Journal of Remote Sensing
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作者： A. Ndi Nyoungui,E. Tonye,A. Akono
年份： 2002年
期号： 第9期
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关键词： complex relative permittivity;reflection coefficient青岛英语培训
摘要：This paper describes a comparative evaluation of veral speckle reduction and texture analysis techniques, with particular emphasis on their applicability to supervid land cover classification from SAR images. Issues related to suppression of speckle in a uniform area, prervation of edges, and texture prervation are pursued in the filters. Quality of texture features is measured by the relevan
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cy, discriminative power and ea of computation of the features. The discriminative power of texture features is measured using the Jeffreys-Matusita distance and classification performance measured on a validation t independent from the classifier''s training t. Classifiers investigated are maximum-likelihood, multi-layer perceptron (MLP) and radial basis function (RBF) neural networks. Classification accuracy is measured lun>圣灵降临节
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