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 …
Detecting Lithium (Li) mineralizations from space: Current research and future perspectives
Optical and thermal remote sensing data have been an important tool in geological
exploration for certain deposit types. However, the present economic and technological …
exploration for certain deposit types. However, the present economic and technological …
Spectral analysis to improve inputs to random forest and other boosted ensemble tree-based algorithms for detecting NYF pegmatites in Tysfjord, Norway
As an important source of lithium and rare earth elements (REE) and other critical elements,
pegmatites are of great strategic economic interest for present and future technological …
pegmatites are of great strategic economic interest for present and future technological …
Mineral prospectivity map** over the Gomoa Area of Ghana's southern Kibi-Winneba belt using support vector machine and naive bayes
Geospatial modeling of mineral prospective regions is essential, owing to its significant
contribution towards the development and economic gains of many mineral-endowed …
contribution towards the development and economic gains of many mineral-endowed …
Semi-automatization of support vector machines to map lithium (Li) bearing pegmatites
Machine learning (ML) algorithms have shown great performance in geological remote
sensing applications. The study area of this work was the Fregeneda–Almendra region …
sensing applications. The study area of this work was the Fregeneda–Almendra region …
Interpretation of the reflectance spectra of lithium (Li) minerals and pegmatites: A case study for mineralogical and lithological identification in the Fregeneda …
Reflectance spectroscopy has been used to identify several deposit types. However,
applications concerning lithium (Li)-pegmatites are still scarce. Reflectance spectroscopic …
applications concerning lithium (Li)-pegmatites are still scarce. Reflectance spectroscopic …
[HTML][HTML] Lithium potential map** using artificial neural networks: a case study from Central Portugal
M Köhler, D Hanelli, S Schaefer, A Barth, A Knobloch… - Minerals, 2021 - mdpi.com
The growing importance and demand of lithium (Li) for industrial applications, in particular
rechargeable Li-ion batteries, have led to a significant increase in exploration efforts for Li …
rechargeable Li-ion batteries, have led to a significant increase in exploration efforts for Li …
Evaluating the performance of machine learning and deep learning techniques to HyMap imagery for lithological map** in a Semi-Arid Region: Case study from …
Accurate lithological map** is a crucial juncture for geological studies and mineral
exploration. Hyperspectral data provide the opportunity to extract detailed information about …
exploration. Hyperspectral data provide the opportunity to extract detailed information about …
Tools for remote exploration: A lithium (li) dedicated spectral library of the fregeneda–almendra aplite–pegmatite field
The existence of diagnostic features in the visible and infrared regions makes it possible to
use reflectance spectra not only to identify mineral assemblages but also for calibration and …
use reflectance spectra not only to identify mineral assemblages but also for calibration and …
[PDF][PDF] A machine learning approach for Bengali handwritten vowel character recognition
Recognition of handwritten characters is complex because of the different shapes and
numbers of characters. Many handwritten character recognition strategies have been …
numbers of characters. Many handwritten character recognition strategies have been …