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Erschienen in:
2004 | OriginalPaper | Buchkapitel
An MRF Model Based Approach for Sub-pixel Mapping from Hyperspectral Data
verfasst von : Teerasit Kasetkasem, Manoj K. Arora, Pramod K. Varshney
Erschienen in: Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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Image classification is a key task in many remote sensing applications. As discussed in Sect. 2.6 of Chap. 2, the objective of classification is to allocate each pixel of a remote sensing image into only one class (i.e. hard or per-pixel classification) or to associate the pixel with many classes (i.e. soft, sub-pixel or fuzzy classification). A number of hard classifiers are in vogue based on approaches such as statistical (Mather 1999), neural networks (Foody 2000a) and decision tree (Hansen et al. 2001).