Application of DSmT-ICM with Adaptive decision rule to supervised classification in multisource remote sensing PDF Download

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Application of DSmT-ICM with Adaptive decision rule to supervised classification in multisource remote sensing

Application of DSmT-ICM with Adaptive decision rule to supervised classification in multisource remote sensing PDF Author: A. Elhassouny
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 11

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Book Description
In this paper, we introduce a new procedure called DSmT-ICM with adaptive decision rule, which is an alternative and extension of Multisource Classification Using ICM (Iterated conditional mode) and DempsterShafer theory (DST). This work confirmed the ability of the Dezert-Smarandache Theory (DSmT) used for the modeling of the classes sets of themes to significantly improve the quality of ICM classification algorithm with constraints by the fusion of the multidates images.