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Ship detection in SAR imagery: a comparison study

Iervolino, Pasquale, Guida, Raffaella, Lumsdon, Parivash, Janoth, Jürgen, Clift, Melanie and Minchella, Andrea (2017) Ship detection in SAR imagery: a comparison study In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017), 23-28 Jul 2017, Fort Worth, Texas, USA.

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Abstract

This paper presents a ship-detection study with Synthetic Aperture Radar (SAR) images acquired at two different frequencies: X- and C-band. The detection procedure relies on a novel algorithm based on the likelihood functions of both canonical ship target and sea clutter. Spaceborne images were acquired over the same area in the Solent Channel in UK at approximately the same time on the 7th June 2016. Here, datasets are compared in terms of probability of detection (PD), probability of false alarm (PFA) and Target-to-Clutter Ratio (TCR). Detection maps are validated with Automatic Identification System (AIS) data when available and preliminary results show a higher TCR for the X-band SAR image.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Iervolino, Pasqualep.iervolino@surrey.ac.ukUNSPECIFIED
Guida, RaffaellaR.Guida@surrey.ac.ukUNSPECIFIED
Lumsdon, ParivashUNSPECIFIEDUNSPECIFIED
Janoth, JürgenUNSPECIFIEDUNSPECIFIED
Clift, MelanieUNSPECIFIEDUNSPECIFIED
Minchella, AndreaUNSPECIFIEDUNSPECIFIED
Date : 28 July 2017
Copyright Disclaimer : ©2017 IEEE
Uncontrolled Keywords : Synthetic Aperture Radar (SAR); Ship-detection; Constant False Alarm Rate (CFAR); Generalized Likelihood Ratio Test (GLRT)
Related URLs :
Depositing User : Clive Harris
Date Deposited : 17 Aug 2017 11:22
Last Modified : 01 Sep 2017 13:23
URI: http://epubs.surrey.ac.uk/id/eprint/841955

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