Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest
نویسندگان
چکیده
منابع مشابه
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Multisource classification methods based on neural networks and statistical modeling are considered. For these methods, the individual data sources are at first treated separately and modeled by statistical methods. Then several decision fusion schemes are applied to combine the information from the individual data sources. These schemes include weighted consensus theory where the weights of th...
متن کاملDecision Fusion for Hyperspectral Classification
In the recent years, pixel-wise classification of hyperspectral images aroused many developments, and the literature now provides various classifiers for numerous applications. In this chapter, we present a generic framework where the redundant or complementary results provided by multiple classifiers can actually be aggregated. Taking advantage from the specificities of each classifier, the de...
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2009
ISSN: 0196-2892,1558-0644
DOI: 10.1109/tgrs.2009.2029340