The State-of-the-Art in Ship Detection in Synthetic Aperture Radar Imagery
DEFENCE SCIENCE AND TECHNOLOGY ORGANISATION SALISBURY (AUSTRALIA) INFO SCIENCES LAB
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This report is a review of the publicly available literature on algorithms for detecting ships in Synthetic Aperture Radar SAR imagery, with the aim of recommending algorithms for inclusion in the Analysts Detection Support System ADSS. The ADSS is a software system being developed at DSTO for the automatic detection of targets in SAR imagery. We outline the motivations, theory and justifications of the various approaches so that educated comparisons and evaluations can be made. Most current research on ship detection is based on detecting the ship itself rather than its wake. Detection of ship wakes is not addressed in any depth. Ship detection systems generally consist of several stages land masking preprocessing prescreening and discrimination. We consider each of these stages in turn and discuss the various algorithms which have been used. A basic system for low to medium resolution single channel SAR imagery is recommended and suggestions for improvements and alternatives are made.
- Active and Passive Radar Detection and Equipment