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This is mainly an image processing project but machine learning is also used at the end for classification. Please refer to the final_report pdf for the help regarding this project

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aarish790/Flood-Extent-on-SAR-Images-Using-a-Supervised-Classifier-

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Flood-Extent-on-SAR-Images-Using-a-Supervised-Classifier-

Project is based on determining whether there is a flood situation in the area or it is just a little overflow of water in the nearby river. Helps in identifying whether particular area is flooded or unflooded using SAR (Synthetic Aperture Radar) images of that area.

First read about SAR (Synthetic Aperture Radar) images : https://en.wikipedia.org/wiki/Synthetic-aperture_radar

Project Contributors : 1. https://github.com/aarish790 , 2. https://github.com/sumitesh9 , 3. https://github.com/Optimistic123

Details about Project

This project was made as a coursework for the course - Image Processing (ECL 410) in the NIT Uttarakhand curriculum.

Please refer to the final_report pdf for the complete help regarding the project : https://github.com/aarish790/Flood-Extent-on-SAR-Images-Using-a-Supervised-Classifier-/blob/master/final_report.pdf

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This is mainly an image processing project but machine learning is also used at the end for classification. Please refer to the final_report pdf for the help regarding this project

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