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7 July 2000 Adaptive spatial filtering techniques for the detection of targets in infrared imaging seekers
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Automatic target detection and tracking for an infrared imaging seeker is a complex topic. The IR sensor images are processed in real time to detect and discriminate the targets in the seeker's field of view. A multitude of image processing and target discrimination algorithms can be implemented in the seeker. The complexity of these algorithms must take into account the potential processing limitation of the seeker on-board processor. Tunable band- pass spatial filters have been considered to optimize the target detection in the input image of the seeker. The spatial frequency features are extracted from the target which is selected by the tracking algorithm. The center spatial frequency of the filter is then automatically tuned to that of the target. Various techniques to derive 2D tunable band-pass filters are presented in this paper. The convolution windows must be characterized by a limited size for real-time application. The sensitivity of the filters to an amplitude threshold variation int he target detection will be evaluated.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andre Morin "Adaptive spatial filtering techniques for the detection of targets in infrared imaging seekers", Proc. SPIE 4025, Acquisition, Tracking, and Pointing XIV, (7 July 2000);


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