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Unsupervised multispectral image classification using MRF models and VQ method
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DOI：10.1109/36.752237.png)
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Abstract
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An unsupervised contextual classification method using Markov random field (MRF) models and the vector quantization (VQ) is proposed. The VQ algorithm classifies the observed iterative classification follow. The proposed method was applied data preliminarily, and the contextual reclassification and the reclassification to a Landsat image to evaluate the classification accuracy.
Keywords:
image classification
Markov random fields
vector quantization
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