MUMBAI, India, Aug. 22 -- Intellectual Property India has published a patent application (202421011074 A) filed by G. H. Raisoni College Of Engineering; and G. H. R. Labs And Research Centre, Nagpur, Maharashtra, on Feb. 16, 2024, for 'an unmanned aerial vehicle based flood mapping system.'
Inventor(s) include Vaishnavi Barkhade; Shruti Mahakarkar; Chetan Dhule; Rahul Agrawal; and Nekita Chavan Morris.
The application for the patent was published on Aug. 22, under issue no. 34/2025.
According to the abstract released by the Intellectual Property India: "The present invention is related to an unmanned aerial vehicle-based flood mapping system. The system combines high-resolution UAV imagery with a unique integration of Convolutional Neural Networks (CNNs) and Region Growing technique for accurate flood extent mapping. A digital elevation model aids in identifying floods concealed beneath vegetation. Real-time monitoring capabilities of UAVs contribute to rapid flood assessment in complex urban settings. The system's innovative flood recognition approach employs data augmentation for CNN training, enhancing accuracy with limited data. Georeferencing ensures spatial precision, and the combination of Fully Convolutional Network (FCN) and Deep Convolutional Neural Network (DCNN) models enables fine label mapping and detailed flood classification. This invention significantly contributes to disaster management by automating flood detection, improving accuracy, and providing a comprehensive solution for urban flood mapping."
Disclaimer: Curated by HT Syndication.
