31 July 2002 Multisensor segmentation using LADAR and PMMW
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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.
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Mark R. Stevens, Magnus Snorrason, and Sengvieng A. Amphay "Multisensor segmentation using LADAR and PMMW", Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); doi: 10.1117/12.477599; https://doi.org/10.1117/12.477599

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