Paper
15 December 2000 MEDUSA: an airborne multispectral oil spill detection and characterization system
Peter Wagner, Theo Hengstermann, Oliver Zielinski
Author Affiliations +
Abstract
MEDUSA is a sensor network, consisting of and effectively combining a variety of different remote sensing instruments. Installed in 1998 it is operationally used in a maritime surveillance aircraft maintained by the German Ministry of Transport, Building and Housing. On one hand routine oil pollution monitoring with remote sensing equipment like Side Looking Airborne Radar (SLAR), Infrared/Ultraviolet Line Scanner (IR/UV line scanner), Microwave Radiometer (MWR), Imaging Airborne Laserfluorosensor (IALFS) and Forward Looking Infrared (FLIR) requires a complex network and communication structure to be operated by a single operator. On the other hand the operation of such a variety of sensors on board of one aircraft provides an excellent opportunity to establish new concepts of integrated sensor fusion and data evaluation. In this work a general survey of the German surveillance aircraft instrumentation is given and major features of the sensor package as well as advantages of the design and architecture are presented. Results from routine operation over North and Baltic Sea are shown to illustrate the successful application of MEDUSA in maritime patrol of oil slicks and polluters. Recently the combination of the different sensor results towards one multispectral information has met with increasing interest. Thus new application fields and parameter sets could be derived, like oceanography or river flood management. The basic concepts and first results in the fusion of sensoric information will conclude the paper.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Wagner, Theo Hengstermann, and Oliver Zielinski "MEDUSA: an airborne multispectral oil spill detection and characterization system", Proc. SPIE 4130, Infrared Technology and Applications XXVI, (15 December 2000); https://doi.org/10.1117/12.409904
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Cited by 4 scholarly publications.
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KEYWORDS
Sensors

Image sensors

Remote sensing

Sensor fusion

Pollution

Ultraviolet radiation

Airborne laser technology

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