368 citations · 368 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 368 cited
A deep convolutional neural network model for rapid prediction of fluvial flood inundation
Syed Kabir, Sandhya Patidar, Xilin Xia +4
Most of the two-dimensional (2D) hydraulic/hydrodynamic models are still computationally too demanding for real-time applications. In this paper, an innovative modelling approach b…
cs.CV2019
A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs
Ling Jiang, Yang Hu, Xilin Xia +2
The shortage of high-resolution urban digital elevation model (DEM) datasets has been a challenge for modelling urban flood and managing its risk. A solution is to develop effectiv…