About this document
A Framework For Flood Disaster Detection From Remote Sensing Images Using Spatiotemporal Fusion With Digital Twin Technology by abcdefghiloveyou0610 is a document available to read on EtoBox.
The document presents a framework for flood disaster detection using remote sensing images, integrating spatiotemporal fusion and digital twin technology. It details a methodology that involves preprocessing remote sensing data, feature extraction using deep learning, and classification with a deep cascaded RNN model, achieving high accuracy in flood prediction. The proposed system aims to enhance disaster response through timely alerts and effective monitoring of flood-prone areas, particularly in Banglade
- Author
- abcdefghiloveyou0610
- Language
- EN