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Proceedings Paper

Interference subspace projection approach to subpixel target detection
Author(s): Qian Du; Chein-I Chang
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Paper Abstract

A hyperspectral imaging spectrometer can reveal and uncover targets with a small range of diagnostic wavelengths. Unfortunately, it also extracts unknown targets such as background and natural signatures, interferers, which cannot be identified a priori. It has been shown that interference generally plays a more dominant role than noise. In order to resolve this issue, the standard signal/noise model is extended to a model that considers signals, interferers and noise as three separate information sources. Since the considered interferers can be interpreted as signal sources that are not targets of interest, they include undesired target signals, background sources. With this interpretation the recently reported signal/background/noise model can be treated as a special case of the proposed signal/interference/noise (SIN) model. Using this SIN model an interference subspace projection (ISP)-based detection method is developed along with generalized likelihood ratio test (GLRT) and constrained energy minimization (CEM) detector. A comparative study is conducted to evaluate their performance.

Paper Details

Date Published: 20 August 2001
PDF: 8 pages
Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); doi: 10.1117/12.437049
Show Author Affiliations
Qian Du, Texas A&M Univ./Kingsville (United States)
Chein-I Chang, Univ. of Maryland/Baltimore County (United States)

Published in SPIE Proceedings Vol. 4381:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII
Sylvia S. Shen; Michael R. Descour, Editor(s)

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