A novel adaptive synthetic aperture radar ship detection system

Autor: Bryan Bagnall, Elan Sharghi, Heidi Buck, Daniel Garcia, Michael Hughes, John Stastny, Keith Pifko
Rok vydání: 2011
Předmět:
Zdroj: OCEANS'11 MTS/IEEE KONA.
DOI: 10.23919/oceans.2011.6106905
Popis: The detection and characterization of vessels from space-based synthetic aperture radar (SAR) imagery has many applications, from monitoring fisheries to port security. Ideally, the detection and characterization of ships in SAR imagery should occur in a reliable and automated fashion. Additionally, given the wide variability in SAR imaging systems and imaging modes, it is desirable to have a SAR ship detection system capable of detecting ships independent of the system or mode. There are currently a wide range of SAR ship detection systems, for which many review papers have been written [3–7]. However, most operational SAR ship detection systems to date have been tailored to specific sensors or imaging modes. In addition, most produce significant false alarms, and often operate ideally in a semi-automated fashion.
Databáze: OpenAIRE