Karpagam JCS ISSN: 2582 – 8525 (Print), 2583 – 3669 (Online)

Flood and Drought Assessment using Support vector Machine

Abstract
The satellite image is preprocessed. The morphological method is used to segment the images. The mathematical morphology operations are employed to generate simulated droughts and floods of water bodies. Here, SVM Classifier is used to find the image type. Support Vector Machine (SVM) is utilized to identify levels of droughting and flooding in the input image. In the morphological dilation and erosion operations, the state of any given pixel in the output image is determined by applying a rule to the corresponding pixel and its neighbors in the input image. The rule used to process the pixels defines the operation as dilation or erosion. The image is then, tested with the SVM for water region identification of the river stage.

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