Classification of canonical scattering through sub-band analysis

Dane F. Fuller; Michael A. Saville

doi:10.1117/12.850558

18 April 2010 Classification of canonical scattering through sub-band analysis

Dane F. Fuller, Michael A. Saville

Proceedings Volume 7699, Algorithms for Synthetic Aperture Radar Imagery XVII; 76990W (2010) https://doi.org/10.1117/12.850558
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Dane F. Fuller and Michael A. Saville "Classification of canonical scattering through sub-band analysis", Proc. SPIE 7699, Algorithms for Synthetic Aperture Radar Imagery XVII, 76990W (18 April 2010); https://doi.org/10.1117/12.850558

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