多波段信息融合的遥感影像变化检测

Remote Sensing Image Change Detection Based on Multi-band Information Fusion

传统遥感影像变化检测方法大多基于单波段信息,难以完整检测影像的变化信息。针对该问题,提出了一种基于马尔可夫随机场模型(MRF)的多波段遥感影像变化检测方法,利用MRF模型融合所有波段的变化信息。在求解MRF模型参数的过程中,引入MoLC与EM混合模型进行迭代计算。实验结果表明,本文方法的检测精度优于现有的变化检测方法,并且稳定性良好。

Traditional remote sensing image change detection methods have difficulty in detecting complete change information based on a single-band. To solve this problem, the paper proposes a multi-band remote sensing image change detection method using a Markov Random Field, fusing all band change information. In the process of solving the MRF model parameters, the MoLC （method of LogCumulants） and EM （expectation-maximization） hybrid model is introduced for iterative calculation. Experimental results show that the detection accuracy of the proposed method is superior to the cur- rent change detection methods, and is stable.