An end-to-end deep learning image compression method for satellite images based on entropy model
A block compression strategy is proposed, which divides large-size images into sub-blocks of 256 × 256 pixels for independent compression, and realizes complete image reconstruction through decompression and splicing technology in order to meet the processing requirements of high-resolution satellite images.