A Survey of Image Compression Techniques with Applicability to SAR imagery

Abstract

This paper is intended as a primer on image compression techniques as they apply to compressing Synthetic Aperture Radar (SAR) imagery. Particular attention will be focused on two techniques which are thought to be particularly suitable to this particular application because of their simplicity and speed, namely Vector Quantization (VQ) and Block Truncation Coding (BTC). More well- known techniques such as Differential Pulse Code Modulation (DPCM) and Discrete Cosine Transform (DCT) will also be discussed. Recommendations for experiments on SAR imagery are made. SAR imagery differs from conventional visual band photographic or electro-optical imagery in two significant respects: first by having a large dynamic range (as great as 96 dB), and second, by the presence of speckle noise, the sort of noise seen in optical holography.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA219590

Entities

People

  • K. W. Daniel

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Amplitude
  • Coding
  • Data Compression
  • Differential Pulse Code Modulation
  • Dynamic Range
  • Frequency
  • Image Compression
  • Image Processing
  • Images
  • Modulation
  • Probability
  • Pulse Code Modulation
  • Synthetic Aperture Radar
  • Target Recognition
  • Target Signatures
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Radar Systems Engineering.