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

Author

Lischi, S. ; Lupidi, A. ; Giusti, E. ; Martorella, Marco

Author_Institution

Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy

fYear

2014

fDate

8-10 Oct. 2014

Firstpage

89

Lastpage

92

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

feature extraction; radar imaging; radar polarimetry; radar target recognition; synthetic aperture radar; ICTD methods; TD theory; automatic target recognition algorithm; coherent target decomposition theorems; enhanced ATR; feature extraction; incoherent target decomposition theorems; pol-ISAR images; polarimetric ISAR images; target decomposition theory; Feature extraction; Radar; Scattering; Signal to noise ratio; Support vector machines; Target recognition; Vectors; Automatic target recognition; Pol-ISAR images; po-larimetric target decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

European Radar Conference (EuRAD), 2014 11th

Conference_Location

Rome

Type

conf

DOI

10.1109/EuRAD.2014.6991214

Filename

6991214