Compression of synthetic aperture radar video phase history data using trellis-coded quantization techniques

James W. Owens, Michael W Marcellin, Bobby R. Hunt, Marvin Kleine

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

Synthetic aperture radar (SAR) is a remote-sensing technology that uses the motion of the radar transmitter to synthesize an antenna aperture much larger than the actual antenna aperture to yield high-spatial resolution radar images. In this paper trellis-coded quantization (TCQ) techniques are shown to provide a high-performance low bit-error sensitivity solution to the problem of downlink data rate reduction for SAR systems. Trellis-coded vector quantization (TCVQ) and universal TCQ coding systems are discussed implemented and compared with other data compression schemes [block adaptive quantization (BAQ) and VQ] that can be used to compress SAR phase history data.

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Keywords

  • Compression
  • Phase history
  • Quantization
  • Radar
  • SAR

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Computers in Earth Sciences
  • Electrical and Electronic Engineering

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