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A Novel Ship-Detection Technique for Sentinel-1 SAR Data

Iervolino, P, Guida, R and Whittaker, P (2015) A Novel Ship-Detection Technique for Sentinel-1 SAR Data In: APSAR 2015 (2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar), 2015-09-01 - 2015-09-04, Marina Bay Sands, Singapore.

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Abstract

The paper shows a novel algorithm for ship-detection in Synthetic Aperture Radar (SAR) imagery. The algorithm is divided in three main steps: land mask rejection, detection and discrimination. In the first step land pixels are rejected by using Shuttle Radar Topography Mission (SRTM) data; in the second stage the potential ships are detected on a method based on the Generalized Likelihood Ratio Test (GLRT) and, finally, some targets are rejected by removing the azimuth ambiguities and by gathering the target pixels in clusters. The algorithm is tested on a Sentinel-1 image acquired over the Portsmouth harbour and compared with the outcomes coming from a Constant False Alarm Algorithm (CFAR).

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre
Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
AuthorsEmailORCID
Iervolino, PUNSPECIFIEDUNSPECIFIED
Guida, RUNSPECIFIEDUNSPECIFIED
Whittaker, PUNSPECIFIEDUNSPECIFIED
Date : 30 September 2015
Funders : Engineering and Physical Science Research Council (EPSRC)
Identification Number : https://doi.org/10.1109/APSAR.2015.7306324
Copyright Disclaimer : © 2015 IEEE.
Uncontrolled Keywords : CFAR, Synthetic Aperture Radar (SAR), Sentinel-1 ship detection, Ship-detection, GLRT
Depositing User : Symplectic Elements
Date Deposited : 19 Sep 2016 08:07
Last Modified : 19 Sep 2016 08:07
URI: http://epubs.surrey.ac.uk/id/eprint/812224

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