Title :
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
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;
Conference_Titel :
European Radar Conference (EuRAD), 2014 11th
Conference_Location :
Rome
DOI :
10.1109/EuRAD.2014.6991214
