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Ship detection in South African oceans using a SAR, CFAR and a Haar-like feature classifier
conference contribution
posted on 2023-05-23, 09:04 authored by Schwegmann, CP, Kleynhans, W, Brian SalmonBrian SalmonSynthetic Aperture Radar images is a proven technology that can be used to detect ships at sea which have no active transponders (commonly referred to as dark targets). Various methods have been proposed that process SAR images to monitor these targets. In this paper, we propose a novel ship detection method for Advanced Synthetic Aperture Radar imagery that combines a Constant False Alarm Rate ship prescreening method with a Haar-like feature cascade classifier. Experimental results indicate that this configuration provides a ship detection accuracy above 88% and half the False Alarm Rate of the traditional Constant False Alarm Rate method.
History
Publication title
Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS)Pagination
557-560ISBN
978-147995775-0Department/School
School of EngineeringPublisher
IEEEPlace of publication
United States of AmericaEvent title
International Geoscience and Remote Sensing Symposium 2014Event Venue
Quebec, CanadaDate of Event (Start Date)
2014-07-13Date of Event (End Date)
2014-07-18Rights statement
Copyright 2014 the AuthorsRepository Status
- Restricted