Classification of multispectral images based on a fuzzy-possibilistic neural network

In this paper, a new Hopfield-model net based on fuzzy possibilistic reasoning is proposed for the classification of multispectral images. The main purpose is to modify the Hopfield network embedded with fuzzy possibilistic C-means (FPCM) method to construct a classification system named fuzzy-possi...

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Veröffentlicht in:	IEEE transactions on human-machine systems 2002-11, Vol.32 (4), p.499-506
Hauptverfasser:	LIN, Jzau-Sheng, LIU, Shao-Han
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Clustering algorithms Computer science control theory systems Connectionism. Neural networks Exact sciences and technology Fundamental areas of phenomenology (including applications) Fuzzy neural networks Fuzzy reasoning Hopfield neural networks Image processing Image segmentation Imaging and optical processing Information, signal and communications theory Magnetic resonance imaging Multispectral imaging Neural networks Neurons Optics Pattern recognition. Digital image processing. Computational geometry Physics Satellites Signal processing Studies Telecommunications and information theory
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