Bounded distortion compression scheme for hyper-spectral image data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper, proposes a new approach for compression of hyper-spectral images that can provide a bound on the distortion introduced. The technique involves an adaptive re-ordering of the spectral components of each pixel. The proposed approach takes advantage of spatial and spectral correlations in hyper-spectral data sets, potentially leading to improved compression over standard nearly lossless techniques that encode the image spatially one band at a time. Preliminary results demonstrating the effectiveness of the approach are presented.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE
Pages1039-1041
Number of pages3
Volume2
StatePublished - 1996
EventProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4) - Lincoln, NE, USA
Duration: May 28 1996May 31 1996

Other

OtherProceedings of the 1996 International Geoscience and Remote Sensing Symposium, IGARSS'96. Part 1 (of 4)
CityLincoln, NE, USA
Period5/28/965/31/96

ASJC Scopus subject areas

  • Software
  • Geology

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  • Cite this

    Memon, N. D. (1996). Bounded distortion compression scheme for hyper-spectral image data. In International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 2, pp. 1039-1041). IEEE.