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Earth Science Deep Learning: Applications and Lessons Learned (2018)

Ramachandran, Rahul ; Maskey, Manil ; Zhang, Jia ; [et al.]

In: CASI

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Publication Date: 2019-07-13

Description: Deep learning has revolutionized computer vision and natural language processing with various algorithms scaled using high-performance computing. At the NASA Marshall Space Flight Center (MSFC), the Data Science and Informatics Group (DSIG) has been using deep learning for a variety of Earth science applications. This paper provides examples of the applications and also addresses some of the challenges that were encountered.

Keywords: Cybernetics, Artificial Intelligence and Robotics; Earth Resources and Remote Sensing

Type: MSFC-E-DAA-TN51352 , IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018); Jul 22, 2018 - Jul 27, 2018; Valencia; Spain

Format: application/pdf

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