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Optical Engineering

Recognizing target variants and articulations in synthetic aperture radar images
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 synthetic aperture radar (SAR) images. Using SAR scattering-center locations and magnitudes as features, the invariance of these features is shown with articulation (e.g., rotation of a tank turret), with configuration variants, and with a small change in depression angle. This scatterer-location and magnitude quasiinvariance is used as a basis for development of a SAR recognition system that successfully identifies real articulated and nonstandard- configuration vehicles based on nonarticulated, standard recognition models. identification performance results are presented as vote-space scatterplots and receiver operating characteristic curves for configuration variants, for articulated objects, and for a small change in depression angle with the MSTAR public data.

Paper Details

Date Published: 1 March 2000
PDF: 12 pages
Opt. Eng. 39(3) doi: 10.1117/1.602418
Published in: Optical Engineering Volume 39, Issue 3
Show Author Affiliations
Bir Bhanu, Univ. of California/Riverside (United States)
Grinnell Jones, Univ. of California/Riverside (United States)


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