Referenced Items are not available for this document.
In this contribution, High Frequency Surface Wave (HFSW) radars are considered for target detection. These systems, commonly used for oceanographic purposes, are of interest in maritime surveillance because of their long range detection capabilities. Unfortunately, the received signals are strongly polluted by different noises. To improve target detection a method based on Morphological Component Analysis (MCA) is investigated. Shortly, this paper introduces HFSW radars and gives an overview of the MCA. Then, numerical results from simulated data illustrate the MCA-based target detection method. Comparisons with classical detection methods based on CFAR techniques (GOCA-CFAR and GOOS-CFAR) are proposed through Receiver Operating Characteristics (ROC) curves.
Published in:
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Date of Conference: 25-30 July 2010
- Page(s):
- 3708 - 3711
- ISSN :
- 2153-6996
- E-ISBN :
- 978-1-4244-9564-1
- Print ISBN:
- 978-1-4244-9565-8
- INSPEC Accession Number:
- 11686791
- Conference Location :
- Honolulu, HI
- Digital Object Identifier :
- 10.1109/IGARSS.2010.5651308
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
