• DocumentCode
    3689969
  • 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
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    377
  • Lastpage
    380
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7325779
  • Filename
    7325779
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3689969