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 journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)1080-1085
Number of pages6
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume37
Issue number2 II
DOIs
StatePublished - 1999

Keywords

  • Compression
  • Phase history
  • Quantization
  • Radar
  • SAR

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

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