Utilization of volume correlation filters for underwater mine identification in LIDAR imagery

Bradley Walls

doi:10.1117/12.784983

14 April 2008 Utilization of volume correlation filters for underwater mine identification in LIDAR imagery

Bradley Walls

Proceedings Volume 6967, Automatic Target Recognition XVIII; 69670L (2008) https://doi.org/10.1117/12.784983
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Underwater mine identification persists as a critical technology pursued aggressively by the Navy for fleet protection. As such, new and improved techniques must continue to be developed in order to provide measurable increases in mine identification performance and noticeable reductions in false alarm rates. In this paper we show how recent advances in the Volume Correlation Filter (VCF) developed for ground based LIDAR systems can be adapted to identify targets in underwater LIDAR imagery. Current automated target recognition (ATR) algorithms for underwater mine identification employ spatial based three-dimensional (3D) shape fitting of models to LIDAR data to identify common mine shapes consisting of the box, cylinder, hemisphere, truncated cone, wedge, and annulus. VCFs provide a promising alternative to these spatial techniques by correlating 3D models against the 3D rendered LIDAR data.

Citation Download Citation

Bradley Walls "Utilization of volume correlation filters for underwater mine identification in LIDAR imagery", Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670L (14 April 2008); https://doi.org/10.1117/12.784983

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