Paper
24 August 1999 Portable scalable architecture for model-based FLIR ATR and SAR/FLIR fusion
Larisa Stephan, Martin B. Childs, Neeraj Pujara
Author Affiliations +
Abstract
For an on-board automatic target recognition (ATR) system to be useful to the crew of a military platform, the ATR must reduce the mission risk or increase its lethality. This utility may be increased by shortening the operator's time to interrogate possible threat targets or by enabling weapon deployment at a greater range. Obstacles to deployment of ATRs have included an excess of false cues and difficulty in adapting developmental configurations to processing architectures that can operate in the required environmental conditions without serious performance degradation. We present a real-time FLIR ATR software architecture that is scaleable across multiple processors and readily portable to a number of hardware platforms. Fusion with cues from an on- or off-board synthetic aperture radar (SAR) provides a significant reduction in the amount of processing required to classify targets while simultaneously increasing the confidence in each target hypothesis. The FLIR ATR and fusion are implemented on commercial off-the-shelf (COTS) processors that are available in ruggedized versions, and the software is constructed to allow portability to other processor families without major disturbance to those parts of the code that embody the algorithm content.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Larisa Stephan, Martin B. Childs, and Neeraj Pujara "Portable scalable architecture for model-based FLIR ATR and SAR/FLIR fusion", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359987
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Automatic target recognition

Forward looking infrared

Image processing

Synthetic aperture radar

Image fusion

Algorithm development

Mercury

Back to Top