DocumentCode
575850
Title
Demonstrator of maritime SAR applications: Automatic ship detection results
Author
Jarabo-Amores, Pilar ; González-Bonilla, María José ; Mata-Moya, David ; Martín-de-Nicolás, Jaime ; Palma-Vázquez, Ángel
Author_Institution
Signal Theor. & Commun. Dept., Univ. of Alcala, Madrid, Spain
fYear
2012
fDate
22-27 July 2012
Firstpage
3732
Lastpage
3735
Abstract
Synthetic Aperture Radar systems are powerful observation tools for maritime surveillance applications such as fisheries monitoring or pirates detection and oil slick detection. It is an important problem that has not been completely solved. The Demonstrator of Maritime SAR Applications (DeMSAR) is proposed as an answer to these problems. It is an off-line implementation of a SAR image processor for detecting ships and/or oil slicks that provides two operation modes: an automatic processing mode for robust detection with default processing schemes and associated parameters, and a toolbox mode with different libraries conveying sets of algorithms designed for specific processing stages that can be configured by the user. The automatic processing scheme includes an edge detector, land mask estimation and a double parameter CFAR ship detector.
Keywords
edge detection; geophysical image processing; image sensors; object detection; oceanographic techniques; oils; radar imaging; ships; synthetic aperture radar; DeMSAR; Demonstrator of Maritime SAR application; SAR image processing; automatic processing scheme; automatic ship detection; double parameter CFAR ship detector; edge detector; fishery monitoring; land mask estimation; library conveying set; maritime SAR application; maritime surveillance application; oil slick detection; pirate detection; synthetic aperture radar system; toolbox mode; Detectors; Estimation; Feature extraction; Image edge detection; Marine vehicles; Monitoring; Synthetic aperture radar; SAR; feature extraction; land mask; ship detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350506
Filename
6350506
Link To Document