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Proceedings Paper

Comparison of some HRR-classification algorithms
Author(s): Fredrik Dicander; Roland Jonsson
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Paper Abstract

ATR using HRR-signatures have recently gained lot of attention. A number of classification methods have been proposed using different target descriptions. The traditionally used classifier utilizing mean square error between magnitude only range profiles and templates suffers from problems with interfering scatterers. Several attempts to improve the MSE classifier both during the template formation process and in the matching have been made. We have recently presented a method that matches complex HRR signatures to target descriptions that use scattering centers. This method handle the unknown phases of the centers and thus overcomes the problem of interference between scatterers. In this paper we compare our method with a number of other methods that uses magnitude only range profiles. Those includes Mean-templates, Eigen- templates and the Specular and Diffuse scattering models.

Paper Details

Date Published: 27 August 2001
PDF: 12 pages
Proc. SPIE 4382, Algorithms for Synthetic Aperture Radar Imagery VIII, (27 August 2001); doi: 10.1117/12.438202
Show Author Affiliations
Fredrik Dicander, Ericsson Microwave Systems AB (Sweden)
Roland Jonsson, Ericsson Microwave Systems AB (Sweden)


Published in SPIE Proceedings Vol. 4382:
Algorithms for Synthetic Aperture Radar Imagery VIII
Edmund G. Zelnio, Editor(s)

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