Multispectral image classification based on improved weighted MRF Bayesian
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- 作者：Zhaobin CuiAuthor Vitae ; Ying Wang ; yingwang@xidian.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Xinbo GaoAuthor Vitae ; Jie LiAuthor Vitae ; Yu ZhengAuthor Vitae
- 关键词：Bayesian nonparametric model ; Gaussian mixture model ; Markov random field ; Multispectral image classification
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：5 November 2016
- 年：2016
- 卷：212
- 期：Complete
- 页码：75-87
- 全文大小：10043 K
文摘
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A novel multispectral image classification scheme is proposed in this paper.
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GMM is introduced to describe the statistical properties of each class.
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Anisotropic MLL is constructed to capture the spatial contextual information.
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The proposed Bayesian approach combines GMM and anisotropic MLL spatial prior.