21 May 2015 Evaluating backgrounds for subpixel target detection: when closer isn't better
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
N. Hasson, N. Hasson, S. Asulin, S. Asulin, D. Blumberg, D. Blumberg, S. R. Rotman, 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
PROCEEDINGS
8 PAGES


SHARE
Back to Top