A secure outsourcing search method for multitemporal hyperspectral remote sensing images

Abstract

The invention relates to a safe outsourcing search method for multi-time-phase hyperspectral remote sensing images. The safe outsourcing search method is executed by adopting a local platform and a cloud platform, wherein the local platform comprises a remote sensing image splitting module, a remote sensing image encryption module, a remote sensing image replacement module, a remote sensing image conversion module, a remote sensing image decryption module, a remote sensing image restoration module and a remote sensing image combining module; the cloud platform comprises a Euclidean distance calculation module and a remote sensing image screening module. The method has the advantages as follows: the cloud platform is utilized for storage and search, the speed and the efficiency are high, and the problems that the local platform has storage pressure and cannot execute search are solved; a remote sensing image is subjected to dual encryption through encryption and Johnson-Lindenstrauss conversion, so that the problems of data leakage, data tampering, data hijacking and the like under the cloud platform environment are solved; the remote sensing images at different time phases are simulated through Euclidean distance and added Gaussian noise, and the accuracy rate is increased; the images obtained through screening are downloaded to the local platform from the cloud platform for decryption, and security is improved.

Description

technical field [0001] The invention relates to the technical field of remote sensing image encryption, in particular to a secure outsourced search method for multi-temporal hyperspectral remote sensing images. Background technique [0002] "Big data" has existed for a long time in the fields of physics, biology, environmental ecology, military, finance, communication and other industries, but it has attracted people's attention because of the development of the Internet and information industry in recent years. With the era of big data With the advent, small batches of data with convenient storage and fast transmission are no longer applicable. The amount of data used in many fields is astonishing. For the field of remote sensing images, due to the continuous development of advanced technology, a large number of hyperspectral remote sensing images are widely used. General hyperspectral remote sensing images have more than 200 bands. A large number of remote sensing images s...

AI Technical Summary

Problems solved by technology

However, this method cannot solve the problem of encryption and decryption of multi-band images and a large amount of calculation

[0006] Therefore, there is an urgent need for an image outsourcing search method that can solve local computing, storage, and search problems, search for images by image, and improve cloud data security, but there is no report on this method at present

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