Editorial for the Special Issue: “Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques”-Reference-Cited by-同舟云学术

Editorial for the Special Issue: “Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques”

Published:2023-01-28 Issue:2 Volume:13 Page:193
ISSN:2075-163X
Container-title:Minerals
language:en
Short-container-title:Minerals

Author:

Pour Amin Beiranvand¹,Rahmani Omeid²,Parsa Mohammad³^ORCID

Affiliation:

1. Institute of Oceanography and Environment (INOS), Universiti Malaysia Terengganu (UMT), Kuala Nerus 21030, Terengganu, Malaysia

2. Department of Natural Resources Engineering and Management, School of Science and Engineering, University of Kurdistan Hewlêr (UKH), Erbil 44001, Kurdistan Region, Iraq

3. Mineral Exploration Research Centre, Harquail School of Earth Sciences, Laurentian University, Sudbury, ON P3E 2C6, Canada

Abstract

Using multispectral remote sensing data in cooperation with big data processing and deep fusion learning techniques provides a new approach for mineral and hydrocarbon exploration [...]

Publisher

MDPI AG

Subject

Geology,Geotechnical Engineering and Engineering Geology

Link

https://www.mdpi.com/2075-163X/13/2/193/pdf

Reference23 articles.

1. Regional geology mapping using satellite-based remote sensing approach in Northern Victoria Land;Pour;Antarctica. Polar Sci.,2018

2. Mapping alteration mineral zones and lithological units in Antarctic regions using spectral bands of ASTER remote sensing data;Pour;Geocarto Int.,2018

3. Pour, A.B., Park, T.S., Park, Y., Hong, J.K., Zoheir, B., Pradhan, B., Ayoobi, I., and Hashim, M. (2018). Application of multi-sensor satellite data for exploration of Zn-Pb sulfide mineralization in the Franklinian Basin, North Greenland. Remote Sens., 10.

4. Lithological and alteration mineral mapping in poorly exposed lithologies using Landsat-8 and ASTER satellite data: North-eastern Graham Land, Antarctic Peninsula;Pour;Ore Geol. Rev.,2019

5. Evaluation of ICA and CEM algorithms with Landsat-8/ASTER data for geological mapping in inaccessible regions;Pour;Geocarto Int.,2019

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