An Adaptive Fuzzy Markov Random Field Model for Change Detection

作者：Gao Fei^*; Chen Bona; Sun Jinping

来源：Chinese Journal of Electronics, 2012, 21(3): 466-470.

• Fuzzy Markov random field
• Gradient projection optimization method
• Change detection

This paper proposes a change detection algorithm based on a novel adaptive fuzzy Markov random field model. The purpose is to improve the adaptability and accuracy of change detection algorithm through a non-parametric adaptive framework. We formulate the change detection problem as a constraint optimization problem according to maximum a posterior probability criterion, and then design a non-parametric energy function which can adaptively adjust contributions of contextual information and observed data to labeling decision making. Finally, the gradient projection optimization method is applied to the scheme to obtain optimal change detection result. Theoretical analysis and experimental results show the validity of the proposed algorithm.

• 出版日期2012-7
• 单位北京航空航天大学