Learning bayesian classifiers for scene classification with a visual grammar
نویسندگان
چکیده
منابع مشابه
Scene Modeling and Image Mining with a Visual Grammar
Automatic content extraction, classification and content-based retrieval are highly desired goals in intelligent remote sensing databases. Pixel level processing has been the common choice for both academic and commercial systems. We extend the modeling of remotely sensed imagery to three levels: Pixel level, region level and scene level. Pixel level features are generated using unsupervised cl...
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In multidimensional classification the goal is to assign an instance to a set of different classes. This task is normally addressed either by defining a compound class variable with all the possible combinations of classes (label power-set methods, LPMs) or by building independent classifiers for each class (binary-relevance methods, BRMs). However, LPMs do not scale well and BRMs ignore the de...
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2005
ISSN: 0196-2892
DOI: 10.1109/tgrs.2004.839547