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Proceedings Paper

Detection and classification in SAR using MINACE correlation filters
Author(s): David P. Casasent; Rajesh Shenoy
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Paper 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 PD equals 100% and PFA <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.

Paper Details

Date Published: 5 June 1995
PDF: 14 pages
Proc. SPIE 2487, Algorithms for Synthetic Aperture Radar Imagery II, (5 June 1995); doi: 10.1117/12.210861
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Rajesh Shenoy, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 2487:
Algorithms for Synthetic Aperture Radar Imagery II
Dominick A. Giglio, Editor(s)

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