Method for inpainting highlight region of vegetation image captured by unmanned aerial vehicle, device, medium, and product

A method for inpainting a highlight region of a vegetation image captured by an unmanned aerial vehicle, comprising:

• acquiring an image to be inpainted and a historic image, wherein the image to be inpainted is an image with a highlight region, the historic image is an image obtained by capturing a target region at a previous moment, and the target region is a region shown in the image to be inpainted;
• inputting the image to be inpainted to a trained target detection network to obtain a waterbody highlight region image block in the image to be inpainted;
• determining a template image block of the image to be inpainted based on the waterbody highlight region image block, wherein the template image block is an adjacent image block of the waterbody highlight region image block, and the template image block is used for image block inpainting matching;
• cropping the historic image based on a coarse tuning-fine tuning method to obtain a plurality of candidate image blocks of the image to be inpainted;
• determining similarity between each candidate image block and the template image block by using a deep learning image coarse matching method based on the template image block;
• determining candidate image blocks with the similarity greater than a predetermined threshold as target candidate image blocks, and determining an optimal candidate image block in the target candidate image blocks by a pixel-by-pixel matching method;
• and
• inpainting the waterbody highlight region image block according to the optimal candidate image block.