A Deep Convolutional Neural Network for Detecting Volcanic Thermal Anomalies from Satellite Images

A Deep Convolutional Neural Network for Detecting Volcanic Thermal Anomalies from Satellite Images

The latest generation of high-spatial-resolution satellites produces measurements of high-temperature volcanic features at global scale, which are valuable to monitor volcanic activity. Recent advances in technology and increased computational resources have resulted in an extraordinary amount of mo...

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Bibliographic Details
Main Authors:	Eleonora Amato, Claudia Corradino, Federica Torrisi, Ciro Del Negro
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Remote Sensing
Subjects:	CNN detection infrared lava flow transfer learning ensemble learning
Online Access:	https://www.mdpi.com/2072-4292/15/15/3718

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