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SAR ship detection for rough sea conditions

Iervolino, Pasquale, Guida, Raffaella, Amitrano, Donato and Marino, Armando (2019) SAR ship detection for rough sea conditions In: International Geoscience & Remote Sensing Symposium (IGARSS) 2019, 2019-07-28-2019-08-02, Yokohama, Japan.

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Abstract

In the Synthetic Aperture Radar (SAR) framework many detection algorithms and techniques have been published in the recent literature; however the detection of vessels whose dimensions are in the order of the image spatial resolution is still challenging in rough sea state scenarios. This issue is addressed in the paper presented here by comparing rationale and performance of two detectors developed by the same authors: the Generalized Likelihood Ratio Test (GLRT) and the Intensity Dual-Polarization Ratio Anomaly Detector (iDPolRAD). Both detectors are tested on a dual-polarization VV/VH Interferometric Wide Swath Sentinel-1 image acquired over the Suruga Bay on the Pacific Coast of Japan. The theory is presented here and the two detectors are compared against the Cell Average-Constant False Alarm Algorithm (CA-CFAR) showing both better performance than CFAR in terms of false alarms rejection.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre
Authors :
NameEmailORCID
Iervolino, Pasqualep.iervolino@surrey.ac.uk
Guida, RaffaellaR.Guida@surrey.ac.uk
Amitrano, Donato
Marino, Armando
Date : 27 May 2019
Copyright Disclaimer : Copyright ©2019 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Uncontrolled Keywords : SAR; Maritime Surveillance; Ship detection; Generalized Likelihood Ratio Test (GLRT); Polarimetry
Related URLs :
Additional Information : Paper identifier - 1636
Depositing User : Diane Maxfield
Date Deposited : 27 Aug 2019 14:05
Last Modified : 28 Oct 2019 11:23
URI: http://epubs.surrey.ac.uk/id/eprint/852480

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