%0 Conference Paper %F Oral %T Target recognition from ISAR image using polar mapping and shape matrix %+ Lab-STICC_ENSTAB_CID_TOMS %+ Département STIC [Brest] (STIC) %A Cexus, Jean-Christophe %A Toumi, Abdelmalek %A Riahi, Maroua %< avec comité de lecture %B 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) %C Sousse, Tunisia %I IEEE %P 1-6 %8 2020-09-02 %D 2020 %R 10.1109/ATSIP49331.2020.9231528 %K Feature extraction %K Radar imaging %K Target recognition %K Radar %Z Engineering Sciences [physics]/Signal and Image processing %Z Computer Science [cs]/Artificial Intelligence [cs.AI]Conference papers %X This paper is devoted to the study of an automatic target recognition method to classify Inverse Synthetic Aperture Radar (ISAR) images of moving targets. 2-D ISAR imagery generation allows to obtain a pertinent representation of the moving target reflectivity distribution employing radar imaging system. The proposed target recognition technique is based on a combined the polar representation with shape matrix description applied on ISAR image. These descriptors (features) are used to achieve the recognition task method using Neural Network and Support Vector Machine. Several simulations are provided to validate the performances of the proposed method for the automatic aircraft target recognition. %G English %L hal-03267673 %U https://hal.science/hal-03267673 %~ UNIV-BREST %~ INSTITUT-TELECOM %~ ENSTA-BRETAGNE %~ CNRS %~ UNIV-UBS %~ ENSTA-BRETAGNE-STIC %~ ENIB %~ LAB-STICC %~ INSTITUTS-TELECOM