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Proceedings Paper

Persistent electro-optical/infrared wide-area sensor exploitation
Author(s): Andrew P. Brown; Michael J. Sheffler; Katherine E. Dunn
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Paper Abstract

In this paper, we discuss algorithmic approaches for exploiting wide-area persistent EO/IR motion imagery for multisensor geo-registration and automated information extraction, including moving target detection. We first present enabling capabilities, including sensor auto-calibration and automated high-resolution 3D reconstruction using passive 2D motion imagery. We then present algorithmic approaches for 3D-based geo-registration, and demonstrate and quantify performance achieved using public release data from AFRL's Columbus Large Image Format (CLIF) 2006 data collection and the Ohio Geographically Referenced Information Program (OGRIP). Finally, we discuss algorithmic approaches for 3D-based moving target detection with near-optimal parallax mitigation, and demonstrate automated detection of dismount and vehicle targets in coarse-resolution CLIF 2006 imagery.

Paper Details

Date Published: 3 May 2012
PDF: 9 pages
Proc. SPIE 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI, 840206 (3 May 2012); doi: 10.1117/12.922167
Show Author Affiliations
Andrew P. Brown, Toyon Research Corp. (United States)
Michael J. Sheffler, Toyon Research Corp. (United States)
Katherine E. Dunn, Toyon Research Corp. (United States)

Published in SPIE Proceedings Vol. 8402:
Evolutionary and Bio-Inspired Computation: Theory and Applications VI
Olga Mendoza-Schrock; Mateen M. Rizki; Todd V. Rovito, Editor(s)

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