Translator Disclaimer
3 May 2012 Persistent electro-optical/infrared wide-area sensor exploitation
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew P. Brown, Michael J. Sheffler, and Katherine E. Dunn "Persistent electro-optical/infrared wide-area sensor exploitation", Proc. SPIE 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI, 840206 (3 May 2012); https://doi.org/10.1117/12.922167
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

ATR paradigm comparison with emphasis on model-based vision
Proceedings of SPIE (February 01 1992)
Context-driven automated target detection in 3D data
Proceedings of SPIE (September 21 2004)
Aided target recognition from 3D laser radar data
Proceedings of SPIE (September 13 2004)
Recognizing 3D objects in cluttered backgrounds
Proceedings of SPIE (September 23 2003)

Back to Top