魏立飞, 钟燕飞, 张良培, 李平湘. 多波段信息融合的遥感影像变化检测[J]. 武汉大学学报 ( 信息科学版), 2014, 39(1): 8-11.
引用本文: 魏立飞, 钟燕飞, 张良培, 李平湘. 多波段信息融合的遥感影像变化检测[J]. 武汉大学学报 ( 信息科学版), 2014, 39(1): 8-11.
WEI Lifei, ZHONG Yanfei, ZHANG Liangpei, LI Pingxiang. Remote Sensing Image Change Detection Based onMulti-band Information Fusion[J]. Geomatics and Information Science of Wuhan University, 2014, 39(1): 8-11.
Citation: WEI Lifei, ZHONG Yanfei, ZHANG Liangpei, LI Pingxiang. Remote Sensing Image Change Detection Based onMulti-band Information Fusion[J]. Geomatics and Information Science of Wuhan University, 2014, 39(1): 8-11.

多波段信息融合的遥感影像变化检测

Remote Sensing Image Change Detection Based onMulti-band Information Fusion

  • 摘要: 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。

     

    Abstract: Traditional remote sensing image change detection methods have difficulty in detecting com-plete 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 bandchange information.In the process of solving the MRF model parameters,the MoLC(method of Log-Cumulants)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.

     

/

返回文章
返回