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A Joint Encryption and Compression Algorithm for Multiband Remote Sensing Image Transmission.

Weijia Cao1,2, Xiaoran Leng1,2, Tao Yu1,2

  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.

Sensors (Basel, Switzerland)
|September 9, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a joint encryption and compression algorithm (JECA) for multiband remote sensing images, enhancing security and reducing preprocessing time. JECA offers improved visual security and key sensitivity for secure data transmission.

Keywords:
2D infinite collapse mapJPEGencryption-then-compression systemimage encryptionremote sensing image transmission

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Area of Science:

  • Remote Sensing
  • Cybersecurity
  • Image Processing

Background:

  • Sensitive remote sensing image data requires robust protection during transmission, especially across international borders.
  • Existing joint compression and encryption methods for multiband remote sensing images suffer from long preprocessing times, limited band compatibility, and inadequate security.
  • The increasing sophistication of cyber threats necessitates advanced solutions for safeguarding geospatial data.

Purpose of the Study:

  • To develop and evaluate a novel joint encryption and compression algorithm (JECA) for multiband remote sensing images.
  • To address the limitations of existing methods, focusing on reduced preprocessing time, multiband compatibility, and enhanced security.
  • To improve the efficiency and security of transmitting sensitive remote sensing data.

Main Methods:

  • Proposed a three-stage algorithm: preprocessing encryption, crypto-compression, and decoding.
  • Spliced multiple image bands into a grayscale image, followed by block-level scrambling using a chaotic system.
  • Encrypted DC and AC coefficients, followed by decryption and block restoration for image reconstruction.

Main Results:

  • JECA reduced sender preprocessing time by 50% compared to existing methods.
  • The algorithm demonstrated compatibility with multiband remote sensing images.
  • JECA enhanced security, particularly visual security and key sensitivity, while maintaining compression ratios.

Conclusions:

  • JECA offers a more efficient and secure solution for joint compression and encryption of multiband remote sensing images.
  • The algorithm effectively addresses the limitations of previous methods, improving data transmission security.
  • JECA provides a reliable method for protecting sensitive remote sensing data in transit.