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Proceedings Paper

Extension of spatial sharpening techniques for hyperspectral data
Author(s): Tim J. Patterson; Lester Gong; Robert Stu Haxton; Troy T. Chinen
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Paper Abstract

This paper describes our approach and presents measured results of the extension of multispectral sharpening techniques to hyperspectral imagery. Our approach produce high spatial resolution spectral imagery using a least squares estimator. The estimator is based on the underlying physics of the spectral imaging process. The intent of the process it to produce high spatial resolutions with the best possible spectral fidelity. The results on multiple test cases demonstrate sharpened imagery within 5% of the true high resolution hyperspectral values.

Paper Details

Date Published: 2 July 1998
PDF: 9 pages
Proc. SPIE 3372, Algorithms for Multispectral and Hyperspectral Imagery IV, (2 July 1998); doi: 10.1117/12.312592
Show Author Affiliations
Tim J. Patterson, Booz-Allen & Hamilton Inc. (United States)
Lester Gong, Booz-Allen & Hamilton Inc. (United States)
Robert Stu Haxton, Booz-Allen & Hamilton Inc. (United States)
Troy T. Chinen, Booz-Allen & Hamilton Inc. (United States)

Published in SPIE Proceedings Vol. 3372:
Algorithms for Multispectral and Hyperspectral Imagery IV
Sylvia S. Shen; Michael R. Descour, Editor(s)

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