Flood Identification Using Satellite Images
|Selvi C1 and Sathya S2
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Abstract-An automatic algorithm using high resolution synthetic aperture radar (SAR) satellite data that builds on existing methods. It includes the use of object classification before the image segmentation to cope with the very large number of pixels in these scenes. In image processing an improved classification can be achieved by segmenting an image into regions of homogeneity and then classifying them, rather than classifying each pixel independently using a per-pixel classifier. The use of segmentation techniques provides a number of advantages compared to per-pixel classification. By using morphological image processing flood can be detected from the acquired satellite map and then classifying them using a support vector machine classifier (SVM) classifier.Flood detection algorithm giving a synoptic overview of the extent of flooding in both urban and rural areas. During night time also it will be capable of working.