Polarization-based high resolution radar scatterer classification

C. Sprouse, P. Burlina, R. Awadallah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider the use of polarization diversity for the detection, tracking and classification of scattering centers in high range resolution radar (HRR) data. Specifically, we propose a novel exploitation of polarization ratios to label moving scattering features into various geometrical classes including edges, tips or smooth reflectors. We demonstrate scattering-center labeling for both parametric and non-parametric classification algorithms. Experimental results on simulated HRR data are provided and indicate that polarimetric information can be exploited for geometrical typing of scatterers.

Original languageEnglish (US)
Title of host publication2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006
Pages363-366
Number of pages4
DOIs
StatePublished - Dec 1 2006
Event4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006 - Waltham, MA, United States
Duration: Jul 12 2006Jul 14 2006

Publication series

Name2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006

Other

Other4th IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006
CountryUnited States
CityWaltham, MA
Period7/12/067/14/06

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Sprouse, C., Burlina, P., & Awadallah, R. (2006). Polarization-based high resolution radar scatterer classification. In 2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006 (pp. 363-366). [1677221] (2006 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAM 2006). https://doi.org/10.1109/SAM.2006.1677221