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Proceedings Paper

Real-time 3D ladar imaging
Author(s): Peter Cho; Hyrum Anderson; Robert Hatch; Prem Ramaswami
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Paper Abstract

A prototype image processing system has recently been developed which generates, displays and analyzes threedimensional ladar data in real time. It is based upon a suite of novel algorithms that transform raw ladar data into cleaned 3D images. These algorithms perform noise reduction, ground plane identification, detector response deconvolution and illumination pattern renormalization. The system also discriminates static from dynamic objects in a scene. In order to achieve real-time throughput, we have parallelized these algorithms on a Linux cluster. We demonstrate that multiprocessor software plus Blade hardware result in a compact, real-time imagery generation adjunct to an operating ladar. Finally, we discuss several directions for future work, including automatic recognition of moving people, real-time reconnaissance from mobile platforms, and fusion of ladar plus video imagery. Such enhancements of our prototype imaging system can lead to multiple military and civilian applications of national importance.

Paper Details

Date Published: 17 May 2006
PDF: 12 pages
Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 62350G (17 May 2006); doi: 10.1117/12.664904
Show Author Affiliations
Peter Cho, MIT Lincoln Lab. (United States)
Hyrum Anderson, MIT Lincoln Lab. (United States)
Robert Hatch, MIT Lincoln Lab. (United States)
Prem Ramaswami, MIT Lincoln Lab. (United States)

Published in SPIE Proceedings Vol. 6235:
Signal Processing, Sensor Fusion, and Target Recognition XV
Ivan Kadar, Editor(s)

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