A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …
environment has become essential for many countries' sustainable development. As various …
A review on advancements in lithological mapping utilizing machine learning algorithms and remote sensing data
MA El-Omairi, A El Garouani - Heliyon, 2023 - cell.com
Lithological mapping is a fundamental undertaking in geological research, mineral resource
exploration, and environmental management. However, conventional methods for …
exploration, and environmental management. However, conventional methods for …
Effective delineation of rare metal-bearing granites from remote sensing data using machine learning methods: A case study from the Umm Naggat Area, Central …
MA Abdelkader, Y Watanabe, A Shebl… - Ore Geology …, 2022 - Elsevier
Albitized granite (ABG) is considered as one of the most significant hosts of rare metals
(RMs). Consequently, adequate recognition of ABG through proper lithological …
(RMs). Consequently, adequate recognition of ABG through proper lithological …
Geological remote sensing interpretation using deep learning feature and an adaptive multisource data fusion network
Geological remote sensing interpretation can extract elements of interest from multiple types
of images, which is vital in geological survey and mapping, especially in inaccessible …
of images, which is vital in geological survey and mapping, especially in inaccessible …
Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological …
Fusion and analysis of thematic information layers using machine learning algorithms
provide an important step toward achieving accurate mineral potential maps in the …
provide an important step toward achieving accurate mineral potential maps in the …
Optimizing WorldView-2,-3 cloud masking using machine learning approaches
The detection of clouds is one of the first steps in the pre-processing of remotely sensed
data. At coarse spatial resolution (> 100 m), clouds are bright and generally distinguishable …
data. At coarse spatial resolution (> 100 m), clouds are bright and generally distinguishable …
Lithological unit classification based on geological knowledge-guided deep learning framework for optical stereo mapping satellite imagery
Lithological unit classification (LUC) refers to the classification of different types of rocks
within an area, and it has been widely used in many fields, such as resource surveys and …
within an area, and it has been widely used in many fields, such as resource surveys and …
Geological mapping using direct sampling and a convolutional neural network based on geochemical survey data
Geochemical mapping based on machine learning algorithms has been proven to
significantly improve the efficiency of geological mapping related to mineral exploration. This …
significantly improve the efficiency of geological mapping related to mineral exploration. This …
Classification of motor-imagery tasks using a large EEG dataset by fusing classifiers learning on wavelet-scattering features
TD Pham - IEEE Transactions on Neural Systems and …, 2023 - ieeexplore.ieee.org
Brain-computer or brain-machine interface technology allows humans to control machines
using their thoughts via brain signals. In particular, these interfaces can assist people with …
using their thoughts via brain signals. In particular, these interfaces can assist people with …
[HTML][HTML] The application of satellite image analysis in oil spill detection
P Tysiąc, T Strelets, W Tuszyńska - Applied Sciences, 2022 - mdpi.com
In recent years, there has been an increasing use of satellite sensors to detect and track oil
spills. The satellite bands, namely visible, short, medium infrared, and microwave radar …
spills. The satellite bands, namely visible, short, medium infrared, and microwave radar …