Power transformation field operation illegal behavior detection method based on multi-channel CNN

A power transformation field operation illegal behavior detection method based on a multi-channel CNN belongs to the field of artificial intelligence digital image processing, and comprises the following steps: S1, establishing a power transformation field operation illegal behavior database; s2, calculating the area of the intercepted illegal behavior region in the S1, dividing the intercepted illegal behavior region into N classes according to the area of the intercepted illegal behavior region, counting the number of regions of each class, and then calculating the area distribution probability alpha i; s3, for the database established in the S1, fusing an area distribution probability alpha i to construct a multi-channel CNN model; and S4, training the database established in the S1 by using a multi-channel CNN model, inputting the image preprocessed in the S1.2 into the multi-channel CNN model in the S3, and outputting a power transformation field operation behavior detection result. In allusion to the fa