HIGHLIGHTS
- who: Mauro Francini and colleagues from the Laboratory of Interventions Management in Environmental Emergencies Conditions, University of Calabria, Via Pietro Bucci, Cubo, B, Arcavacata di Rende, Rende, Italy have published the research work: A Deep Learning-Based Method for the Semi-Automatic Identification of Built-Up Areas within Risk Zones Using Aerial Imagery and Multi-Source GIS Data: An Application for Landslide Risk, in the Journal: (JOURNAL)
- what: The aim of data augmentation is to improve the sufficiency and diversity of training and validation data by generating a synthetic dataset . To test the accuracy of . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.