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《Remote Sensing Information》 2003-03
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A Review of Pixel Unmixing Models

LV Chang chun (Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China)  
In this paper five different types of pixel unmixing models are reviewed. There are: linear, probabilistic, geometric optical, stochastic geometric, and fuzzy models. A summary of the advantages and disadvantages of three most used models and their applicability is presented. Also, the similarity and difference between the models are analyzed.
【CateGory Index】: TP751
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