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20 August 2001 Interference subspace projection approach to subpixel target detection
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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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qian Du and Chein-I Chang "Interference subspace projection approach to subpixel target detection", Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); https://doi.org/10.1117/12.437049
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