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Proceedings Paper

Soft computing and hyperspectral video for background extraction
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Paper Abstract

This paper presents experimental results of hyperspectral image compression by means of soft computing. Compressions and transmission of hyperspectral data requires intensive computation and sophisticated processing that have been incompatible with on-board real-time operation. Soft computing with intelligent processing optimizes the compression parameters of MPEG 1, tuning them to the specific video content to deliver the highest hyperspectral video compression quality. This soft computing approach is compared with compression based on wavelet transform.

Paper Details

Date Published: 24 July 2000
PDF: 9 pages
Proc. SPIE 4029, Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, (24 July 2000); doi: 10.1117/12.392544
Show Author Affiliations
Tomasz P. Jannson, Physical Optics Corp. (United States)
Paul I. Shnitser, Physical Optics Corp. (United States)
Sergey Sandomirsky, Physical Optics Corp. (United States)
Andrew A. Kostrzewski, Physical Optics Corp. (United States)
Sookwang Ro, Physical Optics Corp. (United States)


Published in SPIE Proceedings Vol. 4029:
Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process
Wendell R. Watkins; Dieter Clement; William R. Reynolds, Editor(s)

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