Content-dependent on-the-fly visual information fusion for battlefield scenarios

Mathieu Aubailly; Mikhail A. Vorontsov; Gary Carhart; J. Jiang Liu; Richard Espinola

doi:10.1117/12.918681

10 May 2012 Content-dependent on-the-fly visual information fusion for battlefield scenarios

Mathieu Aubailly, Mikhail A. Vorontsov, Gary Carhart, J. Jiang Liu, Richard Espinola

Proceedings Volume 8368, Photonic Applications for Aerospace, Transportation, and Harsh Environment III; 83680J (2012) https://doi.org/10.1117/12.918681
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

We report on cooperative research program between Army Research Laboratory (ARL), Night Vision and Electronic Sensors Directorate (NVESD), and University of Maryland (UMD). The program aims to develop advanced on-the-fly atmospheric image processing techniques based on local information fusion from a single or multiple monochrome and color live video streams captured by imaging sensors in combat or reconnaissance situations. Local information fusion can be based on various local metrics including local image quality, local image-area motion, spatio-temporal characteristics of image content, etc. Tools developed in this program are used to identify and fuse critical information to enhance target identification and situational understanding in conditions of severe atmospheric turbulence.

Citation Download Citation

Mathieu Aubailly, Mikhail A. Vorontsov, Gary Carhart, J. Jiang Liu, and Richard Espinola "Content-dependent on-the-fly visual information fusion for battlefield scenarios", Proc. SPIE 8368, Photonic Applications for Aerospace, Transportation, and Harsh Environment III, 83680J (10 May 2012); https://doi.org/10.1117/12.918681

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KEYWORDS

Image fusion

Image quality

Laser range finders

High dynamic range imaging

Information fusion

RGB color model

Visualization

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