most citedA New Mask R-CNN Based Method for Improved Landslide Detection

9 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20209 cited

A New Mask R-CNN Based Method for Improved Landslide Detection

Silvia Liberata Ullo, Amrita Mohan, Alessandro Sebastianelli +4

This paper presents a novel method of landslide detection by exploiting the Mask R-CNN capability of identifying an object layout by using a pixel-based segmentation, along with tr…

eess.IV2020

Automatic Dataset Builder for Machine Learning Applications to Satellite Imagery

Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo

Nowadays the use of Machine Learning (ML) algorithms is spreading in the field of Remote Sensing, with applications ranging from detection and classification of land use and monito…

eess.SP2020

Monitoring of Critical Infrastructures by Micro-Motion Estimation: the Mosul Dam Destabilization

Filippo Biondi, Pia Addabbo, Carmine Clemente +2

In this paper, authors propose a new procedure to provide a tool for monitoring critical infrastructures. Particularly, through the analysis of COSMO-SkyMed satellite data, a detai…

eess.IV2020

Application of DInSAR Technique to High Coherence Satellite Images for Strategic Infrastructure Monitoring

Tony De Corso, Luca Mignone, Alessandro Sebastianelli +6

In this paper the authors present and validate a procedure, which intends to combine the latest state of the art models in bridge monitoring with freely available satellite data. T…

eess.IV2019

Landslide Geohazard Assessment With Convolutional Neural Networks Using Sentinel-2 Imagery Data

Silvia L. Ullo, Maximillian S. Langenkamp, Tuomas P. Oikarinen +4

In this paper, the authors aim to combine the latest state of the art models in image recognition with the best publicly available satellite images to create a system for landslide…