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Secure remote sensing image registration based on compressed sensing in cloud setting
2019
IEEE Access
High-resolution remote sensing image registration has recently been widely applied in many fields such as agriculture, forestry, and urban planning. A high-resolution remote sensing image can depict the texture features of ground details more clearly, but it also brings new challenges to registration such as texture similarity, image storage space, and image information leakage. In this paper, to solve the above problems, we propose a finite-state chaotic compressed sensing (CS) cloud remote
doi:10.1109/access.2019.2903826
fatcat:q37mni6oazfdxglgveidov2fou