Volume 32 Issue 3
Mar.  2007
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Article Contents
GONG Yan, SHU Ning. Texture Segmentation of Multispectral Remote Sensing Image Based on Markov Random Field[J]. Geomatics and Information Science of Wuhan University, 2007, 32(3): 213-215.
Citation: GONG Yan, SHU Ning. Texture Segmentation of Multispectral Remote Sensing Image Based on Markov Random Field[J]. Geomatics and Information Science of Wuhan University, 2007, 32(3): 213-215.

Texture Segmentation of Multispectral Remote Sensing Image Based on Markov Random Field

Funds: 国家973计划资助项目(2006CB701303);国家自然科学基金资助项目(40371079)
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  • Received Date: January 09, 2007
  • Revised Date: January 09, 2007
  • Published Date: March 04, 2007
  • 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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