Summary of Change Detection of High-resolution Remote Sensing Image Based on Random Forest

This Change detection is one of the key technologies in remote sensing image processing. With the rapid development of remote sensing in China, more and more high-resolution images are applied to change detection. However, the acquisition of high-resolution image information is complicated, which is not suitable for traditional technology. Random forest has many advantages, such as simplicity, easy implementation, low computational cost and reducibility, which attracts many researchers to use random forest for change detection. This method has good analytical ability and high precision. Based on the understanding of random forest algorithms and derivative algorithms at home and abroad, this paper summarizes some remote sensing image change detection methods based on random forest, which lays a foundation for the wide application of random forest in remote sensing image change detection.