21 May 2015 Evaluating backgrounds for subpixel target detection: when closer isn't better
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Abstract
Several different background estimators are considered when performing sub-pixel target acquisition. Although all leave noise of about the same amplitude, the difference in their N-dimensional orientation makes a big difference in the target detection performance. Metrics to evaluate the correlation of the noise are presented.
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N. Hasson, S. Asulin, D. Blumberg, S. R. Rotman, "Evaluating backgrounds for subpixel target detection: when closer isn't better", Proc. SPIE 9472, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, 94720R (21 May 2015); doi: 10.1117/12.2085059; https://doi.org/10.1117/12.2085059
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