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Proceedings Paper

Multisensor segmentation using LADAR and PMMW
Author(s): Mark R. Stevens; Magnus Snorrason; Sengvieng A. Amphay
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Paper Abstract

Fusing information from sensors with very different phenomenology is an attractive and challenging option for autonomous target acquisition (ATA) systems because correct target detections should correlate between sensors while false alarms might not. In this paper, we present a series of algorithms for detecting and segmenting targets from their background in passive millimeter wave (PMMW) and laser radar (LADAR) data. PMMW sensors provide a consistent signature for metallic targets. They also can effectively operate under adverse weather conditions, however they exhibit poor angular resolution. LADAR sensors produce high-resolution range and reflectance images, but are sensitive to adverse weather conditions. Sensor fusion techniques are applied with the goal of maintaining high probability of detection while decreasing the false alarm rate.

Paper Details

Date Published: 31 July 2002
PDF: 11 pages
Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); doi: 10.1117/12.477599
Show Author Affiliations
Mark R. Stevens, Charles River Analytics Inc. (United States)
Magnus Snorrason, Charles River Analytics Inc. (United States)
Sengvieng A. Amphay, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 4729:
Signal Processing, Sensor Fusion, and Target Recognition XI
Ivan Kadar, Editor(s)

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