Assessment of model-based automatic target recognition on recorded and simulated infrared imagery

Heiko Seidel; Christoph Stahl; Wolfgang Ensinger; Frode Bjerkeli; Paal Skaaren-Fystro; Kirsten Rosseland; Per Inge Jensen

doi:10.1117/12.776663

16 April 2008 Assessment of model-based automatic target recognition on recorded and simulated infrared imagery

Heiko Seidel, Christoph Stahl, Wolfgang Ensinger, Frode Bjerkeli, Paal Skaaren-Fystro, Kirsten Rosseland, Per Inge Jensen

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Proceedings Volume 6967, Automatic Target Recognition XVIII; 696719 (2008) https://doi.org/10.1117/12.776663
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

During a previous technology programme, a simple landscape and complex target geometries were modelled and demonstrated in a COTS infrared (IR) simulation tool. A preliminary assessment of training-based ATR on real and synthetic imagery was performed, which was presented at SPIE D&S in 2005. The current technology programme has assessed model-based ATR on real and synthetic IR imagery for a 5-class case. Real IR imagery was recorded during a flight campaign. A complex landscape and complex targets were modelled and simulated in a wide variety of conditions in the IR simulation tool. A survey was conducted regarding the current state-of-the-art of model-based ATR approaches. Another survey concerning contour extraction methods for ATR was performed. The best ATR algorithms and contour extraction methods were selected from the survey results. These algorithms were implemented for a multi-class ATR case and adapted to work on the characteristics of IR imagery. The algorithms were benchmarked and compared on the simulated and recorded IR imagery using classical measures. A process for performance assessment of multi-class ATR methods was defined according to an ATR benchmarking concept developed by the German Fraunhofer Research Institute. The assessment was then conducted on the algorithms using a multi-class evaluation approach.

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Heiko Seidel, Christoph Stahl, Wolfgang Ensinger, Frode Bjerkeli, Paal Skaaren-Fystro, Kirsten Rosseland, and Per Inge Jensen "Assessment of model-based automatic target recognition on recorded and simulated infrared imagery", Proc. SPIE 6967, Automatic Target Recognition XVIII, 696719 (16 April 2008); https://doi.org/10.1117/12.776663

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KEYWORDS

Infrared imaging

Databases

Automatic target recognition

Detection and tracking algorithms

Model-based design

Particle filters

Data modeling

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