A knowledge based framework for the detection of measurement uncertainties in derived sea surface current fields

Link:
Autor/in:
Verlag/Körperschaft:
IEEE
Erscheinungsjahr:
2010
Medientyp:
Text
Schlagworte:
  • Algal bloom
  • Cyanobacterium
  • Cyanobacterial blooms
  • Farmers
  • Smallholder
  • Farms
  • Sea surface currents
  • Description logics
  • Oceanography
  • Uncertainties
  • Algal bloom
  • Cyanobacterium
  • Cyanobacterial blooms
  • Farmers
  • Smallholder
  • Farms
Beschreibung:
  • In [6] we presented an approach to measure sea surface currents from satellite images by computing the displacement vectors of distinctive image features or measuring the optical flow between successive images of the same scene. These algorithms are based on the assumption that the image flow observed is caused by the motion of surface films with the currents to be measured. Optical flow due to other image features, e.g. ship wakes, does not correspond to the motion field and causes systematic errors. The decision whether a derived measurement is valid or not by domain experts is very time-consuming. We present first steps towards an automatic knowledge-based approach that uses description logic to validate the measurements of sea surface currents. The terminological knowledge is based on the expert's knowledge of the domain in conjunction with a geographical database containing factual knowledge about the scene. The combination of different sources of knowledge makes it possible to infer about the validity of sea surface current measurements from image data by reasoning based on the local context of the image features. © 2010 IEEE.
Lizenz:
  • info:eu-repo/semantics/closedAccess
Quellsystem:
Forschungsinformationssystem der UHH
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Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/4b1cf75c-2a0d-45a4-add9-c8ea2de76673