Treelets-based method for detecting remote sensing image changes

The invention discloses a treelets-based method for detecting remote sensing image changes and belongs to the field of remote sensing image analysis and processing, aiming to solve the problem that a traditional method for detecting remote sensing image changes has plenty of false change information. The method comprises the steps of: (1) carrying out Treelets filter to an input time-phase remotesensing image 1; (2) carrying out the Treelets cross filter to an input time-phase remote sensing image 2; (3) calculating difference values of corresponding pixel point gray values of the two time-phase remote sensing images subjected to filter to obtain a difference image; (4) carrying out the Treelets filter to the difference image once more to obtain a new difference image; (5) dividing the new difference image into a changed type or an unchanged type by adopting K-means clustering to obtain a final change detection result graph. The method invention can effectively reduce the impacts of unsatisfactory radiation c