A review of machine learning in processing remote sensing data for mineral exploration
The decline of the number of newly discovered mineral deposits and increase in demand for
different minerals in recent years has led exploration geologists to look for more efficient and …
different minerals in recent years has led exploration geologists to look for more efficient and …
Artificial intelligence for satellite communication and non-terrestrial networks: A survey
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
A comparative study of convolutional neural networks and conventional machine learning models for lithological mapping using remote sensing data
Lithological mapping is a critical aspect of geological mapping that can be useful in studying
the mineralization potential of a region and has implications for mineral prospectivity …
the mineralization potential of a region and has implications for mineral prospectivity …
Shear-related gold ores in the Wadi Hodein Shear Belt, South Eastern Desert of Egypt: analysis of remote sensing, field and structural data
Space-borne multispectral and radar data were used to comprehensively map geological
contacts, lithologies and structural elements controlling gold-bearing quartz veins in the …
contacts, lithologies and structural elements controlling gold-bearing quartz veins in the …
Editorial for the special issue: Multispectral and hyperspectral remote sensing data for mineral exploration and environmental monitoring of mined areas
In recent decades, multispectral and hyperspectral remote sensing data provide
unprecedented opportunities for the initial stages of mineral exploration and environmental …
unprecedented opportunities for the initial stages of mineral exploration and environmental …
Geological mapping using drone-based photogrammetry: An application for exploration of vein-type Cu mineralization
M Honarmand, H Shahriari - Minerals, 2021 - mdpi.com
In this research, drone-based photogrammetry was utilized for mapping geology with the
objective of mineral exploration in the Shahzadeh Abbas Cu deposit, Kerman province, Iran …
objective of mineral exploration in the Shahzadeh Abbas Cu deposit, Kerman province, Iran …
Machine Learning (ML)-Based Copper Mineralization Prospectivity Mapping (MPM) Using Mining Geochemistry Method and Remote Sensing Satellite Data
The exploration of buried mineral deposits is required to generate innovative approaches
and the integration of multi-source geoscientific datasets. Mining geochemistry methods …
and the integration of multi-source geoscientific datasets. Mining geochemistry methods …
[HTML][HTML] Multi-Dimensional Data Fusion for Mineral Prospectivity Mapping (MPM) Using Fuzzy-AHP Decision-Making Method, Kodegan-Basiran Region, East Iran
Analyzing and fusing information layers of exploratory parameters is a crucial stride for
increasing the accuracy of pinpointing mineral potential zones in the reconnaissance stage …
increasing the accuracy of pinpointing mineral potential zones in the reconnaissance stage …
Remote sensing satellite-based structural/alteration mapping for gold exploration in the Ketté goldfield, Eastern Cameroon
In-situ mineral prospecting studies in the tropics face challenging environmental conditions
leading to paucity of data and structural mapping of new mineralizations. Here we present …
leading to paucity of data and structural mapping of new mineralizations. Here we present …
Hydrothermal alteration mapping using landsat 8 and ASTER data and geochemical characteristics of Precambrian rocks in the Egyptian shield: A Case Study from …
This study evaluates the geological attributes of rocks within the Abu Ghalaga area using
spatial, geochemical, and petrographic approaches. ASTER and Landsat imagery …
spatial, geochemical, and petrographic approaches. ASTER and Landsat imagery …