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Proceedings Paper • Open Access

New paradigms for active and passive 3D remote object sensing, visualization, and recognition

Paper Abstract

Three dimensional imaging is a powerful tool for object detection, identification, and classification. 3D imaging allows removal of partial obscurations in front of the imaged object. Traditional 3D image sensing has been Laser Radar (LADAR) based. Active imaging has benefits; however, its disadvantages are costs, detector array complexity, power, weight, and size. In this keynote address paper, we present an overview of 3D sensing approaches based on passive sensing using commercially available detector technology. 3D passive sensing will provide many benefits, including advantages at shorter ranges. For small, inexpensive UAVs, it is likely that 3D passive imaging will be preferable to active 3D imaging.

Paper Details

Date Published: 14 April 2008
PDF: 15 pages
Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670E (14 April 2008); doi: 10.1117/12.778343
Show Author Affiliations
P. F. McManamon, Air Force Research Lab. (United States)
B. Javidi, Univ. of Connecticut (United States)
E. A. Watson, Air Force Research Lab. (United States)
M. DaneshPanah, Univ. of Connecticut (United States)
R. T. Schulein, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 6967:
Automatic Target Recognition XVIII
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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