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Proceedings Paper

Two-stage band selection algorithm for hyperspectral imagery
Author(s): Miguel Velez-Reyes; Daphnia M. Linares; Luis O. Jimenez-Rodriguez
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Paper Abstract

This paper presents a two-stage band optimal band selection algorithm for hyperspectral imagery. The algorithm tries to compute the closest subset of bands to the principal components in the sense of having the smallest canonical correlation. The first stage of the algorithm computes and initial guess for the closest bands using matrix-factorization-based band subset selection. The second stage refines the subset of bands using a steepest ascent algorithm. Experimental results using AVIRIS imagery from the Cuprite Mining District are presented.

Paper Details

Date Published: 2 August 2002
PDF: 8 pages
Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); doi: 10.1117/12.478766
Show Author Affiliations
Miguel Velez-Reyes, Univ. of Puerto Rico/Mayaguez (United States)
Daphnia M. Linares, Univ. of Puerto Rico/Mayaguez (United States)
Luis O. Jimenez-Rodriguez, Univ. of Puerto Rico/Mayaguez (United States)


Published in SPIE Proceedings Vol. 4725:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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