High-resolution remote sensing image change detection method of multi-channel U-shaped deep network

A high-resolution remote sensing image change detection method of a multi-channel U-shaped deep network comprises the following steps that two-stage images are preprocessed and then input into a proposed model, features of the two-stage images are extracted through three down-sampling channels adopting different strategies, and difference features of all scale features in the down-sampling process of a channel 1 and a channel 2 are calculated; cascading the highest layer features obtained by the three channels through down-sampling and the highest layer difference features of the channel 1 and the channel 2 as up-sampling input, cascading the features of each scale of the three channels and the difference features of each scale of the channel 1 and the channel 2 to an up-sampling mirror image feature layer through short connection in the up-sampling process, and solving a change probability graph; and calculating loss based on the change probability graph and the real change graph, training a network model th