Title :
Class separability and features selection: GB-MIMO SAR MELISSA case of study
Author :
G. Marino;D. Tarchi;V. Kyovtorov;J. Figueiredo-Morgado;P. F. Sammartino
Author_Institution :
European Commission, Joint Research Centre (JRC), Institute for the Protection and Security of the Citizen (IPSC), Maritime affairs unit, Via Enrico Fermi 2749, 21027 Ispra VA, Italy
fDate :
7/1/2015 12:00:00 AM
Abstract :
MELISSA is a new Ground Based (GB) MIMO SAR system developed by JRC. Despite the successes of MELISSA, GB MIMO SAR sensors could be particularly suitable for many other applications such as MIMO MTI, 3-D ISAR systems and Automatic Target Recognition (ATR) which are still under investigation. This document is addressed for investigating the ability of MELISSA as ATR sensor. The results have proved the abilities of MELISSA of of detecting, discriminating and recognizing potential targets presenting in the area of interest.
Keywords :
"MIMO","Target recognition","Vehicles","Synthetic aperture radar","Security","Sensors","Algorithm design and analysis"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7325779
