Remote sensing image security retrieval method and system in cloud environment

Abstract

The disclosure discloses a remote sensing image security retrieval method and a remote sensing image security retrieval system in cloud environment. According to the present disclosure, a CNN model is applied to extract features, then dimension reduction is performed according to spectral hashing with spectral rotation, and clustering is performed through K-means++. A secure encryption searchable index is generated from the correction tuple of Asymmetric Scalar-Product-Preserving Encryption (ASPE). Image encryption is performed after creating watermark embedding space through prediction error marking and pixel rearrangement. The copyright information and the user information are flexibly embedded and extracted in the process for copyright authentication and distribution data tracking. In addition, the authenticity of the search result is verified by constructing the Merkle tree.