Marine targets recognition through micro-motion estimation from SAR data

Davide Armenise, Filippo Biondi, Pia Addabbo, Carmine Clemente, Danilo Orlando

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
6 Downloads (Pure)


The capability to perform Automatic Target Recognition (ATR) from SAR images has great importance for both civilian and military applications. However, this task becomes challenging when the quality and quantity of target information is not sufficient to reliably discriminate the targets. This is particularly important when dealing with marine targets, where features such as scattering intensities and shapes are common to many different targets. This paper investigates the possibility to enhance classification capabilities of marine targets in SAR images by exploiting the micro-motion information. This characterizing source of information, is extracted by applying Doppler sub-apertures and pixel tracking on SAR images containing the target of interest. The proposed approach is validated on real COSMO-SkyMed SAR data demonstrating the effectiveness to discriminate ships through their unique Doppler fingerprint.
Original languageEnglish
Title of host publication2020 IEEE 7th International Workshop on Metrology for AeroSpace (MetroAeroSpace)
Place of PublicationPiscataway, N.J.
Number of pages6
ISBN (Electronic)978-1-7281-6636-0
Publication statusPublished - 5 Jul 2020
EventIEEE International Workshop on Metrology for Aerospace 2020 -
Duration: 22 Jun 202024 Jun 2020


ConferenceIEEE International Workshop on Metrology for Aerospace 2020


  • synthetic aperture radar
  • micro motion
  • target classification


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