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Proceedings Paper

Detecting subpixel targets from hyperspectral images using wavelet transform
Author(s): Grace H. Chen; Joseph P. Noonan
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Paper Abstract

We present a new method for detecting subpixel targets from hyperspectral images using wavelet transform. In this paper, we focus on cases where the spectral information is available and the observed target signatures are close to that of the background. In the present approach, instead of using the spectral information directly, we wavelet transform the spectrum of each spatial pixel and perform the analysis in the wavelet domain. The signatures of the true target and the background contaminants can be well separated in the wavelet domain if the spectral signature of the target is quasi-localized in the spectral domain. This paper exploits this concept to detect weak, subpixel targets.

Paper Details

Date Published: 4 October 1999
PDF: 11 pages
Proc. SPIE 3809, Signal and Data Processing of Small Targets 1999, (4 October 1999); doi: 10.1117/12.364052
Show Author Affiliations
Grace H. Chen, IISI Corp. Inc. (United States)
Joseph P. Noonan, Tufts Univ. (United States)


Published in SPIE Proceedings Vol. 3809:
Signal and Data Processing of Small Targets 1999
Oliver E. Drummond, Editor(s)

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