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Proceedings Paper

Classification of canonical scattering through sub-band analysis
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Paper Abstract

The spectrum parted linked image test (SPLIT) algorithm was experimentally shown to estimate frequency-dependency of dominant scattering centers through sub-band analysis. Based on its demonstrated potential for classifying canonical scatterers, a theoretical model of the SPLIT algorithm is presented in this paper. Terms are defined, procedures are detailed, and a metric for total least squares model fitting is developed. In addition, the paper addresses multiple observations, measures of confidence, sidelobe interference and sensitivity to bandwidth and noise. Finally, it is described how the one-dimensional (1D) SPLIT algorithm can be extended for use with 2D and 3D imaging.

Paper Details

Date Published: 18 April 2010
PDF: 12 pages
Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990W (18 April 2010); doi: 10.1117/12.850558
Show Author Affiliations
Dane F. Fuller, Air Force Institute of Technology (United States)
Michael A. Saville, Air Force Institute of Technology (United States)

Published in SPIE Proceedings Vol. 7699:
Algorithms for Synthetic Aperture Radar Imagery XVII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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