Abstract: To address the security problems of high-resolution remote sensing image in the process of network transmission, data sharing and application, this paper proposes a multi-level regional encryption method for remote sensing images by considering differences in texture features. First, the large data volume of remote sensing image is divided into blocks and each sub-image block is classified into simple, medium and complex types according to the complexity of texture features. Second, the cipher sub-image blocks are obtained by encrypting the sub-image blocks with chaotic systems of different dimensions for different types of sub-image blocks. Finally, combine the cipher sub-image blocks to obtain the overall encrypted cipher image. By using real remote sensing image for experimental analysis, the results show that the proposed algorithm not only can well achieve the information hiding of remote sensing image, but also can balance the security and time complexity of encryption, which has potential application value in the field of high-resolution remote sensing image data sharing and image processing for mass application in the era of big data.

Key words: remote sensing image data encryption, chaotic system, texture features, information entropy, multi-level encryption