26 September 1997 Eigen-MINACE filters for detection and clutter rejection
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Abstract
A new way of designing distortion-invariant filters for object detection is described. These filters are linear combinations of eigen-images of preprocessed training data. The joint preprocessing and eigen-image formulation leads to filters with good generalization, clutter rejection and object localization. Test results using these filters for synthetic aperture radar object detection are given. We show that with a systematic procedure to select filter parameters, a 100% detection rate with no false alarms can be obtained.
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Rajesh Shenoy, David P. Casasent, "Eigen-MINACE filters for detection and clutter rejection", Proc. SPIE 3208, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling, (26 September 1997); doi: 10.1117/12.290280; https://doi.org/10.1117/12.290280
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