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
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Publisher : Infinite Study
Total Pages : 11
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Book Synopsis Application of DSmT-ICM with Adaptive decision rule to supervised classification in multisource remote sensing by : A. Elhassouny

Download or read book Application of DSmT-ICM with Adaptive decision rule to supervised classification in multisource remote sensing written by A. Elhassouny and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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