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Proceedings Paper

Thermal infrared hyperspectral data compression
Author(s): Bernard V. Brower; Austin Lan; Rulon E. Simmons; David H. Haddock
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Paper Abstract

Hyperspectral imagers sample the electromagnetic spectrum at greater resolution than more traditional imaging systems, which result in a higher band-to-band correlation and greater amounts of data. With bandwidth limitations on the communications channels and storage space, intelligent system design, band selection, and/or data compression will be very important. The data from a new hyperspectral sensor, SEBASS, which collects data in the thermal IR was characterized for compression. As expected, it was found that the data's spectral characteristics were very dependent on scheme content and the collection time of day. It was found that the band-to-band correlation was greater in this data than either HYDICE or AVIRIS hyperspectral data. Compression ratios of 7:1 lossless and 20:1 with minimal loss were achieved compared to 3:1 lossless and 7:1 lossy for HYDICE and AVIRIS data. This increase in compression is directly attributable to the increase in band-to-band correlation. Unique characteristics of the thermal IR hyperspectral data is also discussed.

Paper Details

Date Published: 16 October 1998
PDF: 10 pages
Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998); doi: 10.1117/12.328095
Show Author Affiliations
Bernard V. Brower, Eastman Kodak Co. (United States)
Austin Lan, Eastman Kodak Co. (United States)
Rulon E. Simmons, Eastman Kodak Co. (United States)
David H. Haddock, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 3438:
Imaging Spectrometry IV
Michael R. Descour; Sylvia S. Shen, Editor(s)

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