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Safe outsourcing search method for multi-time-phase hyperspectral remote sensing images

A technology of hyperspectral remote sensing and remote sensing images, which is applied in the field of secure outsourced search of multi-temporal hyperspectral remote sensing images, which can solve the problems of large amount of calculation and inability to solve the encryption and decryption of multi-band images, so as to improve accuracy, speed and prevent The effect of image leaks

Active Publication Date: 2017-09-26
SHANGHAI OCEAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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  • Safe outsourcing search method for multi-time-phase hyperspectral remote sensing images
  • Safe outsourcing search method for multi-time-phase hyperspectral remote sensing images
  • Safe outsourcing search method for multi-time-phase hyperspectral remote sensing images

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Embodiment 1

[0069] refer to figure 1 , figure 1 It is a schematic diagram of the overall structure of the present invention. A secure outsourcing search method for multi-temporal hyperspectral remote sensing images of the present invention includes a local platform and a cloud platform, and the local platform includes a remote sensing image splitting module, a remote sensing image encryption module, a remote sensing image replacement module, a remote sensing image conversion module, and a remote sensing image A decryption module, a remote sensing image restoration module, and a remote sensing image merging module, the cloud platform includes a module for calculating Euclidean distance and a remote sensing image screening module.

[0070] refer to figure 2 , figure 2 It is a schematic diagram of the general workflow of the present invention, and the flow process of the safe outsourcing search method of the multi-temporal hyperspectral remote sensing image is as follows:

[0071] S01:...

Embodiment 2

[0083] refer to image 3 , image 3 It is a schematic diagram of the specific work flow of the present invention, and the specific work flow of a secure outsourced search method for multi-temporal hyperspectral remote sensing images of the present invention is as follows.

[0084] S01: Upload remote sensing images to cloud platform storage

[0085] Upload all remote sensing images to the cloud platform for storage, and perform steps S02-S05 on all remote sensing images and index remote sensing images.

[0086] S02: Split remote sensing images on the local platform

[0087] Let the length of the remote sensing image be height, the width be width, and the number of bands of the remote sensing image be pic_bandNum, split the remote sensing image into pic_bandNum band images, and read the 16-bit deep gray value of each band image.

[0088] S03: Encrypt remote sensing images on the local platform

[0089] refer to Figure 4 , Figure 4 It is the flow chart of remote sensing i...

Embodiment 3

[0119] A specific implementation manner of a secure outsourced search method for multi-temporal highlight remote sensing images of the present invention is as follows.

[0120] S01: Upload remote sensing images to cloud platform storage

[0121] Upload all remote sensing images to the cloud platform for storage, and perform steps S02-S05 on all remote sensing images and index remote sensing images.

[0122] S02: Split remote sensing images on the local platform

[0123] Suppose the length of the remote sensing image is 512, the width is 512, and the number of bands of the remote sensing image is 200. The remote sensing image is split into 200 band images, and the 16-bit gray value of each band image is read.

[0124] S03: Encrypt remote sensing images on the local platform

[0125] S031: Store the gray values ​​of all pixels in the remote sensing image into an array, calculate the average value of all gray values, and subtract the average value from each gray value in the ar...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00G06F17/30
CPCG06T1/0021G06F16/583
Inventor 黄冬梅魏立斐吴国健石少华戴亮耿霞
Owner SHANGHAI OCEAN UNIV
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