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Author:

Geng, Wenhao (Geng, Wenhao.) | Zhang, Jing (Zhang, Jing.) (Scholars:张菁) | Chen, Lu (Chen, Lu.) | Li, Jiafeng (Li, Jiafeng.) | Zhuo, Li (Zhuo, Li.)

Indexed by:

CPCI-S EI Scopus

Abstract:

With the rapid development of remote sensing technology, hyperspectral remote sensing image as foundation data containing abundant sensitive information has been widely applied in many fields, such as agriculture, resources, ocean, city, and environment, etc. A hybrid domain encryption method is proposed for securely transmitting and storing hyperspectral remote sensing images. Considering the spatial and spectral characteristics, the hyperspectral image is encrypted in hybrid domain (spatial and spectral). Spatial domain encryption is done by using the composite chaos sequences. Then, the spectral sequence is scrambled by the cipher sequence for protecting the spectral feature of the hyperspectral image. Finally, the spectral and spatial information is mixed by a one-to-one mapping. Experimental results on NASA datasets show that our method can effectively protect both spectral and spatial feature of hyperspectral image compared with the other methods.

Keyword:

Hyperspectral image Remote sensing Encryption Recombination chaos sequences Hybrid domain

Author Community:

  • [ 1 ] [Geng, Wenhao]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
  • [ 2 ] [Zhang, Jing]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
  • [ 3 ] [Chen, Lu]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
  • [ 4 ] [Li, Jiafeng]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
  • [ 5 ] [Zhuo, Li]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China
  • [ 6 ] [Zhuo, Li]Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing, Peoples R China

Reprint Author's Address:

  • 张菁

    [Zhang, Jing]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing, Peoples R China

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Source :

ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2017, PT II

ISSN: 0302-9743

Year: 2018

Volume: 10736

Page: 890-899

Language: English

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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