Paper
12 July 1999 Imaging infrared seeker signal processing overview: image processing, adaptive thresholding, and track processing
Paul J. Kemper Jr., John S. DiMarco
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Abstract
Processing images from an infrared imaging seeker for automatic target detection is an extremely complex issue. Many algorithms exist for image feature enhancement, adaptive thresholding, and track file processing. The authors present an overview of imaging signal processing algorithms, including image processing, image segmentation, and track processing with the intent of highlighting the interrelationship between algorithms and the necessity of evaluating seeker algorithms as a whole. The paper also discusses performance metrics for seeker-intercept geometries and the evaluation of metrics in a closed-loop aircraft-intercept simulation.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul J. Kemper Jr. and John S. DiMarco "Imaging infrared seeker signal processing overview: image processing, adaptive thresholding, and track processing", Proc. SPIE 3701, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing X, (12 July 1999); https://doi.org/10.1117/12.352979
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image processing

Detection and tracking algorithms

Target detection

Image processing algorithms and systems

Signal processing

Image filtering

Image segmentation

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