EARTH SCIENCE DEEP LEARNING: APPLICATIONS AND LESSONS LEARNED

被引：0

作者：

Maskey, Manil ^{[1
]}

Ramachandran, Rahul ^{[1
]}

Miller, J. J. ^{[2
]}

Zhang, Jia ^{[3
]}

Gurung, Iksha ^{[2
]}

机构：

[1] NASA Marshall Space Flight Ctr, Huntsville, AL 35812 USA

[2] Univ Alabama, Huntsville, AL 35899 USA

[3] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

Deep learning; neural network; Earth science; classification; large-scaled labeled data; training;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Deep learning has revolutionized computer vision and natural language processing with various algorithms scaled using high-performance computing. The Data Science and Informatics Group (DSIG) at the NASA Marshall Space Flight Center (MSFC), 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 have been encountered.

引用

页码：1760 / 1763

页数：4

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