基于马尔柯夫随机场的多波段遥感影像纹理分割研究
Texture Segmentation of Multispectral Remote Sensing Image Based on Markov Random Field
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摘要: 利用马尔柯夫随机场(MRF),对光谱矢量在二维空间的映射模式予以描述,建立了基于马尔柯夫随机场的多波段纹理模型,提出了在多波段遥感影像中吉布斯(Gibbs)分布势函数和吉布斯参数的计算方法,并提出了一种迭代修正的多波段遥感影像纹理分割方法。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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