中文摘要：

在区域变化检测中,为了克服配准误差或噪声引起的伪变化,从多尺度融合的角度出发,对多尺度分析应用于遥感图像变化检测进行了探讨。首先利用小波变换对原始图像进行多尺度分解,然后利用马氏距离判决函数对不同尺度图像进行变化检测,最后利用马尔科夫随机场将不同尺度变化检测结果进行融合。由于马尔科夫随机场融合方法充分考虑了相邻像素间的相关性和不同尺度检测结果的联系,从而使融合结果更细致和精确。一系列图像的实验结果证明本方法具有很好的实用性和鲁棒性。

英文摘要：

In order to increase image registration accuracy in change detection,from the view of multi-scale fusion,a method was proposed for region variation detection,which applied the multi-scale analysis to remote sensing image.First of all,Wavelet transform was adopted to decompose original images,then Mahalanobis distance decision function was used to detect the changes of different scale images,and finally Markov random field was applied to fuse different scale change detection results.Since Markov random field fusion method took full account of the correlation between the adjacent pixels and the links of different scale change detection results,the fusion results were more accurate and practical.The testing results showed that this method is effective and robust.