Intelligent low rate compression of speckled SAR imagery

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This paper describes a compression technique under development at Sandia National Laboratories for the compression of complex synthetic aperture radar (SAR) imagery at very low overall bit rates. The methods involved combine several elements of existing and new lossy and lossless compression schemes in order to achieve an overall compression ratio of large SAR scenes of at least 50:1, while maintaining reasonable image quality. It is assumed that the end user will be primarily interested in specific regions of interest within the image (called chips), but that the context in which these chips appear within the entire scene is also ... continued below

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8 p.

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Ives, R.W.; Eichel, P. & Magotra, N. May 1, 1997.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

This paper describes a compression technique under development at Sandia National Laboratories for the compression of complex synthetic aperture radar (SAR) imagery at very low overall bit rates. The methods involved combine several elements of existing and new lossy and lossless compression schemes in order to achieve an overall compression ratio of large SAR scenes of at least 50:1, while maintaining reasonable image quality. It is assumed that the end user will be primarily interested in specific regions of interest within the image (called chips), but that the context in which these chips appear within the entire scene is also of importance to an image analyst. The term intelligent is used to signify an external cuer which locates the chips of interest.

Physical Description

8 p.

Notes

OSTI as DE98004097

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  • 1998 IEEE Radar Conference, Dallas, TX (United States), 12-13 May 1998

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  • Other: DE98004097
  • Report No.: SAND--97-1928C
  • Report No.: CONF-980524--
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 645479
  • Archival Resource Key: ark:/67531/metadc691118

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  • May 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • April 13, 2016, 2:38 p.m.

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Ives, R.W.; Eichel, P. & Magotra, N. Intelligent low rate compression of speckled SAR imagery, article, May 1, 1997; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc691118/: accessed September 24, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.