OwnerSwiss Federal Institute of Aquatic Science and Technology (Eawag) - view all
Update frequencyunknown
Last updatedabout 1 year ago
OverviewFlood Trenddeep convolutional neural networkflash floodimage segmentationnone
This package provides material that can be openly published for the paper "Scalable Flood Level Trend Monitoring with Surveillance Cameras using a Deep Convolutional Neural Network". It consists in the code used to generate results and figures as well as the weights of the deep convolutional neural networks trained to segment water in the surveillance camera images.
Files
- TARdcnnmodelsweights.tar
- ZIPcctv-flood-extraction.zip
- ZIPfigures 5-9 (code and data).zip
- TXTREADME.txt