BSS, classification and pixel demixing

Abstract

In the framework of the analysis of remote sensing images, the pixel mixture is a difficult task to solve. As it is considered that a mixture of pure elements is observed, it is necessary to identify them and to determine their proportions. Thus we associate statistical methods of Blind Source Separation (BSS) to complementary techniques of classification. Our purpose is developed and illustrated through an application on images for which a ground analysis was carried out. A comparison between a statistical approach and a clustering one is performed. Even if the BSS approach does not provide the classes associated to the ground analysis, it allows us to refind these classes from a simple learning. © Springer-Verlag 2004.