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Proceedings Paper

Recognizing MSTAR target variants and articulations
Author(s): Bir Bhanu; Grinnell Jones
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Paper Abstract

The focus of this paper is recognizing articulated vehicles and actual vehicle configuration variants in real SAR images from the MSTAR public data. Using SAR scattering center locations and magnitudes as features, the invariance of these features is shown with articulation (i.e. turret rotation for the T72 tank and ZSU 23/4 gun), with configuration variants and with a small change in depression angle. This scatterer location and magnitude quasi-invariance (e.g. location within one pixel, magnitude within about ten percent in radar cross- section) is used as a basis for development of a SAR recognition engine that successfully identified real articulated and non-standard configuration vehicles based on non-articulated, standard recognition models. Identification performance results are presented as vote space scatter plots and ROC curves for configuration variants, for articulated objects and for a small change in depression angle with the MSTAR data.

Paper Details

Date Published: 13 August 1999
PDF: 13 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357667
Show Author Affiliations
Bir Bhanu, Univ. of California/Riverside (United States)
Grinnell Jones, Univ. of California/Riverside (United States)


Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)

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