Hurricane Disaster Assessments With Image-Driven Data Mining in High-Resolution Satellite Imagery

Detection, classification, and attribution of high-resolution satellite image features in nearshore areas in the aftermath of Hurricane Katrina in Gulfport, MS, are investigated for damage assessments and emergency response planning. A system-level approach based on image-driven data mining with sig...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2007-06, Vol.45 (6), p.1631-1640
Hauptverfasser:	Barnes, C.F., Fritz, H., Jeseon Yoo
Format:	Artikel
Sprache:	eng
Schlagworte:	Buildings Data mining Data warehouses Emergency response planning Hurricanes Image analysis image information mining image-driven data mining Rail transportation Reconnaissance satellite image hurricane disaster assessments Satellites sigma -tree classifiers Vegetation mapping Water storage
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