Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing

Using computationally efficient techniques for transforming the massive amount of Remote Sensing (RS) data into scientific understanding is critical for Earth science. The utilization of efficient techniques through innovative computing systems in RS applications has become more widespread in recent...

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Bibliographic Details

Published in:	IEEE International Geoscience and Remote Sensing Symposium proceedings pp. 1571 - 1574
Main Authors:	Riedel, Morris, Cavallaro, Gabriele, Benediktsson, Jon Atli
Format:	Conference Proceeding
Language:	English
Published:	IEEE 11.07.2021
Subjects:	Cloud computing deep learning High performance computing machine learning parallel and distributed algorithms Quantum computing Real-time systems remote sensing Supercomputers Training Transfer learning
ISSN:	2153-7003
Online Access:	Get full text
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