为了更准确地从两幅同一地区不同时间的遥感图像中检测出地物的变化情况,提出一种基于统计分析的方法.即:统计检验方法.这种方法是将局部回归方法应用于两幅不同时间遥感图像中的同一感兴趣矩形区域,当回归系数表现出较大的差异时,这些图像区域被分割成更小的子区域.与传统的变化检测方法相比,统计检验法不仅与脉冲噪音无关,而且也不受传感器灵敏度降低引起的外部变化和光源位置变化的影响.

In order to detect the actrul changes from two remotely sensed multispectral images gained at the same location and at different times, a statistical method is created —Statistical Test. In the method, local regression is applied to the areas of interest from the two images which are gained from two times. And when the difference of regression coeffients are very large, these areas of interest are subdivided into more smaller areas. Compared with the conventional methods, the proposed method is not only undependent of the impulse noise, but also the method is not influenced by the apparent changes caused by the sensitivity degradion in sensors or the location changes of the light source.