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A fully-polarized unitary MUSIC for polarimetric SAR tomography

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a fully-polarized unitary multiple signal classification (MUSIC) for polarimetric SAR tomography is proposed. Compared with the classical MUSIC, unitary MUSIC utilizes the conjugate of complex sampling data to achieve higher resolution when the polarimetric SAR tomography has a small number of baselines. The combination of unitary MUSIC and full polarization permits to further reduce the noise of sample covariance matrix on the basis of multilooking consisting of averaging pixels. By making full use of the target's fully-polarized information, this algorithm not only improves the resolution in the elevation dimension but also obtains the accurate polarimetric scattering matrix (PSM) of a target. Simulation results show that this algorithm has better performance than the popular distributed compressed sensing (DCS).

Original languageEnglish
Title of host publicationProceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages964-967
Number of pages4
ISBN (Electronic)9781728105635
DOIs
StatePublished - Sep 2019
Event21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019 - Granada, Spain
Duration: 9 Sep 201913 Sep 2019

Publication series

NameProceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019

Conference

Conference21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
Country/TerritorySpain
CityGranada
Period9/09/1913/09/19

Keywords

  • Polarimetric
  • SAR tomography
  • Unitary MUSIC

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