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Proceedings Paper

Spectrally sensitive wavelet analysis of multispectral imagery for object detection
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Paper Abstract

We used a 3D wavelet denoising method to reduce noise from multispectral imagery so that small objects may be more readily detected. Our approach exploits the correlation between bands typically present in multispectral imagery. Using our approach, the resulting image generally consists of a weighted sum of both spectral bands and spatial frequencies. We found that we could generally increase the SNR of a multispectral image more than if the spectral bands wee processed independently.

Paper Details

Date Published: 4 August 1997
PDF: 10 pages
Proc. SPIE 3071, Algorithms for Multispectral and Hyperspectral Imagery III, (4 August 1997); doi: 10.1117/12.280600
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Ty Olmstead, Photonic Systems Inc. (United States)


Published in SPIE Proceedings Vol. 3071:
Algorithms for Multispectral and Hyperspectral Imagery III
A. Evan Iverson; Sylvia S. Shen, Editor(s)

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