Alteration Zones Detection Using Image-Based and Spectrum-Based Image Processing Techniques to Aster Data: Sonajil Copper Deposit-Reference-Cited by-同舟云学术

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Alteration Zones Detection Using Image-Based and Spectrum-Based Image Processing Techniques to Aster Data: Sonajil Copper Deposit

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
language:
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Author:

Esmaeilzadeh Nima¹,Barak Samaneh²,Gani Nahid D.¹,Imamalipour Ali²,Abedi Maysam³,Pour Amin Beiranvand⁴

Affiliation:

1. Western Kentucky University,Department of Earth, Environmental, and Atmospheric Sciences,USA

2. Urmia University,Department of Mining Engineering,Iran

3. University of Tehran,Department of Mining Engineering,Iran

4. University Malaysia Terengganu,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10281515.pdf?arnumber=10281515

Reference12 articles.

1. The use of fuzzy inference system in the integration of copper exploration layers in Neysian;barak;Iranian Journal of Mining Engineering,2018

2. Exploration of Kahang porphyry copper deposit using advanced integration of geological, remote sensing, geochemical, and magnetics data;barak;Mining and the Environment,2018

3. Effects of binary encoding on pattern recognition and library matching of spectral data

4. Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence

5. Comprehensive modeling of mineral potential mapping by integration of multiset geosciences data

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