Detection and classification in SAR using MINACE correlation filters

David P. Casasent; Rajesh Shenoy

doi:10.1117/12.210861

5 June 1995 Detection and classification in SAR using MINACE correlation filters

David P. Casasent, Rajesh Shenoy

Proceedings Volume 2487, Algorithms for Synthetic Aperture Radar Imagery II; (1995) https://doi.org/10.1117/12.210861
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

New shift-invariant distortion-invariant SAR filters for detection and classification are described. They employ new modified MINACE filters. Test results are provided for real SAR data with 360 degree aspect views of 2 different objects and for 100 real SAR clutter chips (natural and man-made) that passed the second stage of the Lincoln Laboratory's SAR processor. We obtained P_D equals 100% and P_FA <EQ 0.82%. The shift-invariance of the filters allow their use as adjuncts for all stages (detection, discrimination, recognition) of a SAR image processor.

Citation Download Citation

David P. Casasent and Rajesh Shenoy "Detection and classification in SAR using MINACE correlation filters", Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); https://doi.org/10.1117/12.210861

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