Comparison between Pixel-based and Object-based Classifications Using Radar Satellite Image in Extracting Massive Flood Extent at Northern Region of Peninsular Malaysia

Abstract

Year 2010 massive flood hit the northern region of Peninsular Malaysia particularly Perlis and Kedah involved several districts and destroyed many agricultural areas and the infrastructure. This study focuses on the comparison between pixel-based classification and object-based classification of five machine learning algorithms including Parallelepiped (PP… (More)

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@inproceedings{Manaf2015ComparisonBP, title={Comparison between Pixel-based and Object-based Classifications Using Radar Satellite Image in Extracting Massive Flood Extent at Northern Region of Peninsular Malaysia}, author={Syaifulnizam Abd Manaf and Norwati Mustapha and Helmi Zulhaidi Mohd Shafri and Md Nasir Sulaiman and Nor Azura Husin}, year={2015} }