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Ship detection in Sentinel-1 imagery using the H-dome transformation

Citation

Schwegmann, CP and Kleynhans, W and Salmon, BP and Mdakane, L, Ship detection in Sentinel-1 imagery using the H-dome transformation, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 26-31 July 2015, Milan, Italy, pp. 3711-3714. ISBN 978-1-4799-7929-5 (2015) [Refereed Conference Paper]


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Copyright Statement

Copyright 2015 IEEE

Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp...

DOI: doi:10.1109/IGARSS.2015.7326629

Abstract

The advancement of ship detections is an important focus of Maritime Domain Awareness. Improvements in both speed and correctness responses to events can be made by introducing new ship detection methods. Sentinel-1 imagery has recently been released for public usage and with it the chance to test new methods on current data. By exploiting the fact that ships are locally bright objects, this paper presents a method for ship detection within Sentinel-1 imagery using the H-dome transform. This transformation, typically used to highlight sub-cellular structures in biology, can be used to flatten clutter around the ship and highlight the brightest section of ships. The method was tested against two Sentinel-1 images in both HH and HV polarization with a total of 82 ships. The method provided improved FAR over the conventional CA-CFAR method at the cost of slightly worse detection accuracies. Future work includes using the method as auxiliary data in other ship detection methods.

Item Details

Item Type:Refereed Conference Paper
Keywords:marine technology, synthetic aperture radar, Sentinel-1
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Engineering
Author:Salmon, BP (Dr Brian Salmon)
ID Code:103116
Year Published:2015
Deposited By:Engineering
Deposited On:2015-09-22
Last Modified:2016-08-02
Downloads:0

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