Unconstrained eigen-filter pairs for SAR detection

Rajesh Shenoy; David P. Casasent

doi:10.1117/12.458401

6 March 2002 Unconstrained eigen-filter pairs for SAR detection

Rajesh Shenoy, David P. Casasent

Proceedings Volume 4734, Optical Pattern Recognition XIII; (2002) https://doi.org/10.1117/12.458401
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

A new distortion-invariant filter algorithm for object detection in SAR imagery is presented. The filters are linear combinations of eigen-images, reject clutter, have no peak constraints, and employ false-class training. The algorithm is base on two premises: filters that separate object classes are also expected to reject clutter and using eigen-data instead of actual training images and removing fixed peak constraints improve the generalization of the filter. We describe the new filter synthesis algorithm and initial test results on six classes of SAR data.

Citation Download Citation

Rajesh Shenoy and David P. Casasent "Unconstrained eigen-filter pairs for SAR detection", Proc. SPIE 4734, Optical Pattern Recognition XIII, (6 March 2002); https://doi.org/10.1117/12.458401

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