文章基本信息

标题：The Problem of Mixture: The Linear Mixture Model Versus the Fuzzy Model
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作者：Vitor Haertel
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：1992
卷号：XXIX Part B3
页码：907-911
出版社：Copernicus Publications
摘要：In natural scenes it often happens that more than one class is present in a pixel.The pixel spectral response in this case is not representative of either one of thecomponent classes. One approach to solve this problem is the linear mixture model.More recently another model, implementing fuzzy mathematical concepts was introduced.Software compatible with the Brazilian SITIH-ISO image processing system was developedin order to implement and compare both models. A test area located in the EmasNational Park in Brazil is used in order to identify mixtures involving distinctproportions of vegetation
关键词：Remote Sensing Application; Image Classification; 9lass Mixture