针对多时相遥感图像之间的变化检测易受照度变化和噪声的影响,提出了一种基于多尺度分析和多变量假设检验的变化检测方法,首先将已配准的2幅图像的差值进行小波分解,得到4幅子图,小波分解过程中不进行下采样,然后将4幅子图中对应点处的小波系数组成一个四维的矢量,并对每个分量赋予不同的权值,最后利用多变世假设检验判定变化区域。实验结果表明所提取的方法具有较强的抗照度变化和噪声影响的性能。

Change detection in muhitemporal remote sensing images is a challenge because of the illumination variation and noise. In this paper, we develop a robust change detection algorithm based on muhiscale analysis and multivariate hypothesis test. A modified wavelet transformation is used to decompose the difference image of two co-registered remote sensing images into four sub-images. The modified wavelet transformation has no down-sample procedure, and the sub-images have the same size and coordinate system with the input images. Then the four sub-images are integrated into a vector matrix, with each vector is composed of four weighted values that are at the same space position of four sub-images. The two vector matrix can be analysised under the frame of multivariate hypothesis test. Experiment results are carried out to prove its superiority.

TN957.52