From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks
Author:
Affiliation:
1. School of Computing and Digital Technology, Birmingham City University, Birmingham, U.K.
2. Petroleum & Mining Geology, Galala University, Suez Governorate, Egypt
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10269644.pdf?arnumber=10269644
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4. Mineralogical characterization of rock surfaces formed by hydrothermal alteration and weathering; application to remote sensing
5. Application of advanced spaceborne thermal emission and reflection radiometer (ASTER) data in geological mapping;Pour;Int. J. Phys. Sci.,2011
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