18 May 2013 Automatic ship detection from commercial multispectral satellite imagery
Author Affiliations +
Abstract
Commercial multispectral satellite sensors spend much of their time over the oceans. NRL has demonstrated an automatic processing system for finding ships at sea using commercially available multispectral data. To distinguish ships from whitecaps and clouds, a water/cloud clutter subspace is estimated and a continuum fusion derived anomaly detection algorithm is applied. This provides a maritime awareness capability with an acceptable detection rate while maintaining a low rate of false alarms. The system also provides a confidence metric, which can be used to further limit the false alarm rate.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian J. Daniel, Brian J. Daniel, Alan P. Schaum, Alan P. Schaum, Eric C. Allman, Eric C. Allman, Robert A. Leathers, Robert A. Leathers, Trijntje V. Downes, Trijntje V. Downes, "Automatic ship detection from commercial multispectral satellite imagery", Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 874312 (18 May 2013); doi: 10.1117/12.2017762; https://doi.org/10.1117/12.2017762
PROCEEDINGS
8 PAGES


SHARE
Back to Top