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Proceedings Paper

Spectral derivative feature coding for hyperspectral signature analysis
Author(s): Chein-I Chang; Sumit Chakravarty
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Paper Abstract

This paper presents a new approach to hyperspectral signature analysis, called Spectral Derivative Feature Coding (SDFC). It makes use of gradient changes in adjacent bands to characterize spectral variations so as to improve spectral discrimination and identification. In order to evaluate its performance, two binary coding methods, SPectral Analysis Manager (SPAM) and Spectral Feature-based Binary Coding (SFBC) are used to conduct comparative analysis. The experimental results demonstrate the proposed SDFC performs more effectively in capturing spectral characteristics.

Paper Details

Date Published: 1 September 2006
PDF: 12 pages
Proc. SPIE 6302, Imaging Spectrometry XI, 63020F (1 September 2006); doi: 10.1117/12.681662
Show Author Affiliations
Chein-I Chang, Univ. of Maryland, Baltimore County (United States)
Sumit Chakravarty, Univ. of Maryland, Baltimore County (United States)


Published in SPIE Proceedings Vol. 6302:
Imaging Spectrometry XI
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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