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Proceedings Paper

Toward a maximally effective means for analysis of hyperspectral data
Author(s): David A. Landgrebe
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Paper Abstract

In this paper we describe efforts toward a hyperspectral land remote sensing data analysis procedure that would be maximally effective for use by a broad community of future users. Though there would be dependence of performance achieved on the spectral subspace and the classification algorithm used, the major dependence is on how well the user quantitatively defines the classes desired. Thus the attempt is to measure this dependence for typical users and to introduce means that mitigate the problem of class and training definition.

Paper Details

Date Published: 28 January 2002
PDF: 6 pages
Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); doi: 10.1117/12.454160
Show Author Affiliations
David A. Landgrebe, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 4541:
Image and Signal Processing for Remote Sensing VII
Sebastiano Bruno Serpico, Editor(s)

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