Enhanced ATR by jointly using Coherent and Incoherent Target Decomposition Theorems on polarimetric ISAR images

Stefano Lischi, Alberto Lupidi, Elisa Giusti, Marco Martorella

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

Abstract

An Automatic Target Recognition (ATR) algorithm is presented in this paper that is based on the use of polarimetric ISAR (Pol-ISAR) images and Target Decomposition (TD) theory. Specifically both Coherent Target Decomposition (CTD) and InCoherent Target Decomposition (ICTD) methods are used here to extract features from Pol-ISAR images. The two methods are used here jointly to overcome their weaknesses when used separately.

Original languageEnglish
Title of host publicationEuropean Microwave Week 2014
Subtitle of host publication"Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages89-92
Number of pages4
ISBN (Electronic)9782874870378
DOIs
Publication statusPublished - 2014
Event11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014 - Rome, Italy
Duration: 8 Oct 201410 Oct 2014

Publication series

NameEuropean Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference

Conference

Conference11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014
Country/TerritoryItaly
CityRome
Period8/10/1410/10/14

Bibliographical note

Publisher Copyright:
© 2014 EuMA.

Keywords

  • Automatic target recognition
  • Po-larimetric target decomposition
  • Pol-ISAR images

ASJC Scopus subject areas

  • Communication
  • Computer Networks and Communications

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