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Flood assessment using unsupervised techniques for multi-temporal MODIS satellite images is presented. Classical methods like mean shift algorithm is compared with artificial neural network method like self organizing maps for automatic water pixel identification and extraction. The extracted results help in identification of flooded and non-flooded places. Different methods are applied and comparative...
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