Post-earthquake reconstruction map information encryption method for space situation

Abstract

The invention provides a space situation-oriented post-earthquake reconstruction map information encryption method, which identifies all the map information of the space situation-oriented post-earthquake reconstruction image before encryption; Information encryption realizes active encryption of post-earthquake reconstruction map information for space situation. The invention integrates the application advantages of spectral feature enhancement, hyperchaotic sequence and shift cipher, and effectively completes the post-earthquake reconstruction map target information identification and map target information encryption oriented to space situation; The encryption validity of the post-earthquake reconstruction map information of the situation makes all the map information hidden, which protects the security of the map information, and has practical application and promotion value. The present invention also has significant encryption effectiveness for the spectral information target with noise.

Description

technical field [0001] The invention belongs to the technical field of image encryption, in particular to a post-earthquake reconstruction map information encryption method oriented to space situation. Background technique [0002] With the emergence of broadband network and multimedia technology, the extraction, transmission and processing of image data appear in every corner of the digital age, and the issue of image information security is very critical. A large amount of image information must be encrypted for transmission and storage, such as images taken by military satellites, drawings of new weapons, etc. Among them, there is a lot of private map information in the post-earthquake reconstruction images oriented to the space situation. For example, when designers design the post-earthquake reconstruction scheme oriented to the space situation, images taken by satellites are involved. For this reason, a large number of scholars have carried out related information encr...

AI Technical Summary

Problems solved by technology

[0004] Most of the commonly used spectral matching methods are based on the identification criteria to realize the spectral target recognition, without enhancing the spectral features, and when performing spectral recognition, the characteristics of the target information to be recognized become less significant due to the influence of noise. Using targeted methods to enhance such spectra in the map will affect the accuracy of target recognition in the map

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