Abstract
With the rapid development of remote sensing technology, satellite remote sensing images have been involved in many areas of people’s lives. Remote sensing images contain military secrets, land profiles, and other sensitive data, so it is urgent to encrypt remote sensing images. This paper proposes a dual-channel key transmission model. The plaintext related key is embedded into the ciphertext image through bit-level key hiding transmission strategy, which enhanced the ability of ciphertext image to resist known-plaintext attack and chosen plaintext attack. In addition, a multiband remote sensing image encryption algorithm based on Boolean cross-scrambling and semi-tensor product diffusion is designed. Firstly, the pixel positions of each band of the remote sensing image are disturbed. Then, the random sequence generated by the four-dimensional chaotic system is processed and deformed to obtain a Boolean matrix. Based on the generated Boolean matrix and certain rules, the cross-confusion between the bands is carried out. Finally, the semi-tensor product operation is used in the diffusion process. Simulation results and experimental analysis show that the proposed algorithm obtains a larger key space and has stronger antiattack ability than other remote sensing image encryption algorithms. It can meet the security transmission of multiband remote sensing image in open space.
Highlights
Under the background of globalization, Internet technology has never stopped its development pace. e emergence of various kinds of social media has enabled a large amount of private information to be transmitted on the open network [1]
In order to test the encryption effect of this algorithm, the simulation experiment on MATLAB 2015b platform is completed. e computer environment is equipped with Intel (R) Core (TM) i7-6500U CPU @2.50 GHz, 8.00 GB RAM and Windows 10 operating system. e remote sensing image in the experiment is from Gaofen Image Dataset (GID) released by Wuhan University in 2020, which is extracted from Gaofen-2 (GF-2) satellite [52]
Multiband remote sensing image processing is based on a complete remote sensing image processing platform, the Environment for Visualizing Images (ENVI)
Summary
Under the background of globalization, Internet technology has never stopped its development pace. e emergence of various kinds of social media has enabled a large amount of private information to be transmitted on the open network [1]. Wang et al have adopted a bit-based scrambling method, combined with a dynamic superposition diffusion algorithm [29], and achieved good encryption results These encryption algorithms all use the same operation to encrypt each band (color channel) of the image. In order to design the algorithm suitable for remote sensing image encryption, which takes into account high efficiency, low energy consumption, and security, scholars have carried out a large number of analyses and researches. Is cross-band disorganized method of pixel positions greatly improves the security of the scrambling stage It avoids the risk of the whole image being stolen from the traditional color image encryption single-channel cracking. Compared with conventional diffusion methods such as exclusive OR operation, it can obtain stronger antiattack ability and meet the high security requirements of remote sensing image transmission in open space.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
