Compression and encryption for remote sensing image using chaotic system

Abstract In this paper, because of the acquisition principle and big data of remote sensing image, we suggest an encryption scheme using chaotic system to build up the compressed sensing framework. A two‐dimensional generalized Arnold map is adopted here to generate the entries of the Toeplitz matrix used as measurement matrix. Then, the selecting row of the Toeplitz matrix is also decided by the chaotic sequence generated randomly by the Arnold map. With a further function of permutation operation, we can also encrypt remote sensing image after compression. The key space is constructed by the initial conditions in chaotic system. Experiment results show that the proposed method can be suitable to compressed sensing when the random measurement matrix is generated using chaotic system. Additionally, although the permutation operation is adopted, it is mainly used to enhance the security of cipher‐image. The reconstruction result is only dependent on the standard recovery algorithm. Copyright © 2015 John Wiley & Sons, Ltd.