Texture Segmentation of Multispectral Remote Sensing Image Based on Markov Random Field
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Abstract
The mapping model of spectral vector in 2-dimension space is described using Markov Random Field(MRF),a texture model for multispectral remote sensing image is established based on MRF,and the calculations of Gibbs potentials and Gibbs parameters are analyzed.Based on this,an iterating algorism for multispectral image texture segmentation is presented.
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