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

doi:10.1109/36.752226

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 journal › Article › peer-review

25 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 language	English (US)
Pages (from-to)	1080-1085
Number of pages	6
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	37
Issue number	2 II
DOIs	https://doi.org/10.1109/36.752226
State	Published - 1999
Externally published	Yes

Keywords

Compression
Phase history
Quantization
Radar
SAR

ASJC Scopus subject areas

Electrical and Electronic Engineering
General Earth and Planetary Sciences

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10.1109/36.752226

Cite this

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title = "Compression of synthetic aperture radar video phase history data using trellis-coded quantization techniques",

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.",

keywords = "Compression, Phase history, Quantization, Radar, SAR",

author = "Owens, {James W.} and Marcellin, {Michael W.} and Hunt, {Bobby R.} and Marvin Kleine",

note = "Funding Information: Manuscript received June 16, 1997; revised August 3, 1998. This work was supported in part by the National Science Foundation under Grant NCR-9258374. J. W. Owens, M. W. Marcellin, and B. R. Hunt are with the Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721 USA (e-mail: [email protected]). M. Kleine is with Lockheed Martin Tactical Defense Systems, Litchfield Park, AZ 85340 USA. Publisher Item Identifier S 0196-2892(99)01972-5.",

year = "1999",

doi = "10.1109/36.752226",

language = "English (US)",

volume = "37",

pages = "1080--1085",

journal = "IEEE Transactions on Geoscience and Remote Sensing",

issn = "0196-2892",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2 II",

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TY - JOUR

T1 - Compression of synthetic aperture radar video phase history data using trellis-coded quantization techniques

AU - Owens, James W.

AU - Marcellin, Michael W.

AU - Hunt, Bobby R.

AU - Kleine, Marvin

N1 - Funding Information: Manuscript received June 16, 1997; revised August 3, 1998. This work was supported in part by the National Science Foundation under Grant NCR-9258374. J. W. Owens, M. W. Marcellin, and B. R. Hunt are with the Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721 USA (e-mail: [email protected]). M. Kleine is with Lockheed Martin Tactical Defense Systems, Litchfield Park, AZ 85340 USA. Publisher Item Identifier S 0196-2892(99)01972-5.

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

KW - Compression

KW - Phase history

KW - Quantization

KW - Radar

KW - SAR

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JO - IEEE Transactions on Geoscience and Remote Sensing

JF - IEEE Transactions on Geoscience and Remote Sensing

IS - 2 II

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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