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Open AccessEditorial

Special Issue on Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

1
Department of Geoinformatics, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, Korea
2
Geoscience Platform Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124 Gwahak-ro, Yuseong-gu, Daejeon 34132, Korea
3
Geophysical Exploration, Korea University of Science and Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon 34113, Korea
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2019, 9(12), 2446; https://doi.org/10.3390/app9122446
Received: 10 June 2019 / Accepted: 11 June 2019 / Published: 14 June 2019
Note: In lieu of an abstract, this is an excerpt from the first page.

As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been maturing rapidly [...] View Full-Text
MDPI and ACS Style

Jung, H.-S.; Lee, S. Special Issue on Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing. Appl. Sci. 2019, 9, 2446.

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