Title: A Novel Algorithm for Ship Detection in ENVISAT SAR Imagery Based on the Wavelet Transform
Authors: TELLO MarivíLÓPEZ-MARTÍNEZ CarlosMALLORQUÍ JordiVAN WIMERSMA GREIDANUS HERMAN
Citation: Proceedings of the 2004 ENVISAT & ERS Symposium
Publisher: ESA
Publication Year: 2005
JRC Publication N°: JRC30976
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC30976
Type: Contributions to Conferences
Abstract: Carrying out an effective control of fishing activities is essential to guarantee a sustainable exploitation of sea resources. While traditional reconnaissance methods, such as planes and patrol vessels are indispensible, their operation is quite time consuming and costly over the extended regulated areas. On the contrary, satellite-based Synthetic Aperture Radar (SAR) provides a powerful surveillance capability already confirmed by a large amount of investigations and experiments all over the world. Nevertheless, automatic ship detection is still far from perfect. Hence, some efforts are still to be furnished in order to improve on this . In this paper, a novel algorithm for ship detection purposes based on the wavelet transform is presented and tested over simulated and real ENVISAT images.
JRC Institute:Institute for the Protection and Security of the Citizen

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