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Proceedings Paper

Improvement to an interband version of the linear prediction approach for hyperspectral image compression
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Paper Abstract

This paper proposes an improvement to an interband version of the linear prediction approach for lossless compression of hyperspectral images. The improvements consisted of the use of non-predictable bands and the varied size of the sample set. Our improved method achieved an average compression ratio of 3.19 using 13 Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) images, compared to 3.08 in the basic method.

Paper Details

Date Published: 13 March 2003
PDF: 10 pages
Proc. SPIE 4885, Image and Signal Processing for Remote Sensing VIII, (13 March 2003); doi: 10.1117/12.463164
Show Author Affiliations
Jarno S. Mielikainen, Lappeenranta Univ. of Technology (Finland)
Pekka J. Toivanen, Lappeenranta Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 4885:
Image and Signal Processing for Remote Sensing VIII
Sebastiano B. Serpico, Editor(s)

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