Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection
Author:
Affiliation:
1. Institute of Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece
2. Department of Informatics and Telematics, Harokopio University of Athens, Athens, Greece
Funder
European Union’s Horizon2020 Research and Innovation Project DeepCube
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09791383.pdf?arnumber=9791383
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