DocumentCode :
2724003
Title :
Swimming Pool Identification from Digital Sensor Imagery Using SVM
Author :
Tien, David ; Rudra, Tarashankar ; Hope, Anthony B.
fYear :
2007
fDate :
3-5 Dec. 2007
Firstpage :
523
Lastpage :
527
Abstract :
bushfires. In January 2003 it witnessed a significant natural disaster when Canberra was struck by firestorms. The Ash Wednesday fires in Victoria resulted in 75 deaths twenty years earlier. Events like these have made environmental and emergency management research a focus in Australia. In this paper, we introduce a Support Vector Machine (SVM) technique to classify small area water bodies, swimming pools in particular. These features provide a valuable source of water for Emergency Services and play a crucial role in fighting bushfires in urban areas of Australia.
Keywords :
Ash; Australia; Disaster management; Environmental management; Fires; Focusing; Image sensors; Support vector machine classification; Support vector machines; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing Techniques and Applications, 9th Biennial Conference of the Australian Pattern Recognition Society on
Conference_Location :
Glenelg, Australia
Print_ISBN :
0-7695-3067-2
Type :
conf
DOI :
10.1109/DICTA.2007.4426841
Filename :
4426841
Link To Document :
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