A deep learning approach to detecting volcano deformation from satellite
imagery using synthetic datasets

A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets

17 May 2019

Nantheera Anantrasirichai

David Bull

Papers citing "A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets"

6 / 6 papers shown

Title
PDIWS: Thermal Imaging Dataset for Person Detection in Intrusion Warning Systems N. D. Thuan Le Hai Anh Hoang Si Hong 18 1 0 26 Feb 2023
On Board Volcanic Eruption Detection through CNNs and Satellite Multispectral Imagery M. P. D. Rosso A. Sebastianelli D. Spiller P. Mathieu Silvia Liberata Ullo 30 38 0 29 Jun 2021
Deep Learning Meets SAR Xiaoxiang Zhu S. Montazeri Mohsin Ali Yuansheng Hua Yuanyuan Wang Lichao Mou Yilei Shi Feng Xu R. Bamler 36 219 0 17 Jun 2020
Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping Naoto Yokoya Kazuki Yamanoi Wei He Gerald Baier B. Adriano H. Miura S. Oishi AI4CE 19 1 0 09 Jun 2020
An Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimation Subhayan Mukherjee A. Zimmer Xinyao Sun P. Ghuman I. Cheng 11 9 0 27 Jan 2020
The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries Nantheera Anantrasirichai Juliet Biggs F. Albino D. Bull 13 57 0 05 Sep 2019