Remote sensing image change detection method based on chi-square transformation and sample selection

The invention discloses a remote sensing image change detection method based on chi-square transformation and sample selection. Multi-scale segmentation is performed on a multi-temporal remote sensing image so as to obtain image spots; the multi-dimensional features of the image spots are extracted, and the weighted difference degree of the image spots is calculated by adopting a feature fusion method based on chi-square transformation; and training samples are self-adaptively selected, a change threshold is obtained through a Bayes threshold determination method based on an expectation maximization algorithm, and binary segmentation is performed on the weighted difference image so as to obtain a change detection result. The correct rate of change detection is ensured to be high and leak detection is also effectively reduced so that the better change detection result is obtained. The remote sensing image change detection method has great application value in monitoring of the surface coverage change.