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

Stefano Lischi; Alberto Lupidi; Elisa Giusti; Marco Martorella

doi:10.1109/EuRAD.2014.6991214

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

Stefano Lischi
, Alberto Lupidi
, Elisa Giusti
, Marco Martorella

Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	European Microwave Week 2014
Subtitle of host publication	"Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	89-92
Number of pages	4
ISBN (Electronic)	9782874870378
DOIs	https://doi.org/10.1109/EuRAD.2014.6991214
Publication status	Published - 2014
Event	11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014 - Rome, Italy Duration: 8 Oct 2014 → 10 Oct 2014

Publication series

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

Conference

Conference	11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014
Country/Territory	Italy
City	Rome
Period	8/10/14 → 10/10/14

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

Access to Document

10.1109/EuRAD.2014.6991214

Cite this

Lischi, S., Lupidi, A., Giusti, E., & Martorella, M. (2014). Enhanced ATR by jointly using Coherent and Incoherent Target Decomposition Theorems on polarimetric ISAR images. In European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference (pp. 89-92). Article 6991214 (European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EuRAD.2014.6991214

Lischi, Stefano ; Lupidi, Alberto ; Giusti, Elisa et al. / Enhanced ATR by jointly using Coherent and Incoherent Target Decomposition Theorems on polarimetric ISAR images. European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference. Institute of Electrical and Electronics Engineers (IEEE), 2014. pp. 89-92 (European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference).

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title = "Enhanced ATR by jointly using Coherent and Incoherent Target Decomposition Theorems on polarimetric ISAR images",

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.",

keywords = "Automatic target recognition, Po-larimetric target decomposition, Pol-ISAR images",

author = "Stefano Lischi and Alberto Lupidi and Elisa Giusti and Marco Martorella",

note = "Publisher Copyright: {\textcopyright} 2014 EuMA.; 11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014 ; Conference date: 08-10-2014 Through 10-10-2014",

year = "2014",

doi = "10.1109/EuRAD.2014.6991214",

language = "English",

series = "European Microwave Week 2014: {"}Connecting the Future{"}, EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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}

Lischi, S, Lupidi, A, Giusti, E & Martorella, M 2014, Enhanced ATR by jointly using Coherent and Incoherent Target Decomposition Theorems on polarimetric ISAR images. in European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference., 6991214, European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference, Institute of Electrical and Electronics Engineers (IEEE), pp. 89-92, 11th European Radar Conference, EuRAD 2014 - Held as Part of the 44th European Microwave Week, EuMW 2014, Rome, Italy, 8/10/14. https://doi.org/10.1109/EuRAD.2014.6991214

Enhanced ATR by jointly using Coherent and Incoherent Target Decomposition Theorems on polarimetric ISAR images. / Lischi, Stefano; Lupidi, Alberto; Giusti, Elisa et al.
European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 89-92 6991214 (European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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DO - 10.1109/EuRAD.2014.6991214

M3 - Conference contribution

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Lischi S, Lupidi A, Giusti E, Martorella M. Enhanced ATR by jointly using Coherent and Incoherent Target Decomposition Theorems on polarimetric ISAR images. In European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference. Institute of Electrical and Electronics Engineers (IEEE). 2014. p. 89-92. 6991214. (European Microwave Week 2014: "Connecting the Future", EuMW 2014 - Conference Proceedings; EuRAD 2014: 11th European Radar Conference). doi: 10.1109/EuRAD.2014.6991214

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

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this