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Proceedings Paper

Performance characterization of a model-based SAR target recognition system using invariants
Author(s): Bir Bhanu; Grinnell Jones
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Paper Abstract

The performance of a model-based automatic target recognition (ATR) engine with articulated and occluded objects in SAR imagery is characterized based on invariant properties of the objects. Using SAR scattering center locations as features, the invariance with articulation is shown as a function of object azimuth. The basic elements of our model-based recognition engine are described and performance results are given for various design parameters. The articulation invariant properties of the objects are used to characterize recognition engine performance, in terms of probability of correct identification as a function of percent invariance with articulation. Similar results are presented for object occlusion in the presence of noise, with percent unoccluded as the invariant measure. Finally, performance is characterized for occluded articulated objects as a function of number of features that are used. Results are presented using 4320 chips generated by XPATCH for 5 targets.

Paper Details

Date Published: 28 July 1997
PDF: 17 pages
Proc. SPIE 3070, Algorithms for Synthetic Aperture Radar Imagery IV, (28 July 1997); doi: 10.1117/12.281568
Show Author Affiliations
Bir Bhanu, Univ. of California/Riverside (United States)
Grinnell Jones, Univ. of California/Riverside (United States)

Published in SPIE Proceedings Vol. 3070:
Algorithms for Synthetic Aperture Radar Imagery IV
Edmund G. Zelnio, Editor(s)

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