A review on hyperspectral imagery application for lithological map** and mineral prospecting: Machine learning techniques and future prospects
Hyperspectral remotely sensed imagery is a pertinent instrument in lithological and mineral
alterations map** for a vast range of ore mineralization. This imagery typically provides an …
alterations map** for a vast range of ore mineralization. This imagery typically provides an …
PRISMA hyperspectral remote sensing data for map** alteration minerals in sar-e-châh-e-shur region, Birjand, Iran
Remote sensing satellite imagery consistently provides valuable and frequent information,
enabling the exploration of mineral resources across immense, remote and harsh domains …
enabling the exploration of mineral resources across immense, remote and harsh domains …
[HTML][HTML] Advanced exploration of rare metal mineralization through integrated remote sensing and geophysical analysis of structurally-controlled hydrothermal …
Fusing multi-source (remote sensing and geophysical) data and diverse approaches
validation in targeting hydrothermal alteration and structural anomalies enhances the …
validation in targeting hydrothermal alteration and structural anomalies enhances the …
[HTML][HTML] PRISMA vs. Landsat 9 in lithological map**− a K-fold Cross-Validation implementation with Random Forest
The selection of an optimal dataset is crucial for successful remote sensing analysis. The
PRISMA hyperspectral sensor (with 240 spectral bands) and Landsat OLI-2 (boasting high …
PRISMA hyperspectral sensor (with 240 spectral bands) and Landsat OLI-2 (boasting high …
[HTML][HTML] Remote sensing and geochemistry of A-type granites, North Arabian-Nubian shield: Insights into the origin and evolution of the granitic suites and processes …
The Nikeiba composite A-type magmatism of the South Eastern Desert of Egypt is
subdivided into two magmatic phases, an older one including syenogranites and alkali …
subdivided into two magmatic phases, an older one including syenogranites and alkali …
Ultra-sensitive analysis of exhaled biomarkers in ozone-exposed mice via PAI-TOFMS assisted with machine learning algorithms
T Yang, Z Li, S Chen, T Lan, Z Lu, L Fang… - Journal of Hazardous …, 2024 - Elsevier
Ground-level ozone ranks sixth among common air pollutants. It worsens lung diseases like
asthma, emphysema, and chronic bronchitis. Despite recent attention from researchers, the …
asthma, emphysema, and chronic bronchitis. Despite recent attention from researchers, the …
Classifying iron ore with water or dust adhesion combining differential feature and random forest using hyperspectral imaging
J Jiang, C Nie, J Deng, K Li, L Jia, T Sun, Z Li - Minerals Engineering, 2024 - Elsevier
Hyperspectral imaging (HSI), a promising technique integrating imaging and spectroscopy,
can help sort iron ores with different total iron (TFe) contents. However, the adhesion of dust …
can help sort iron ores with different total iron (TFe) contents. However, the adhesion of dust …
Analysis of Devanur and Manamedu Ophiolite Complexes in SGT, India: A detailed examination employing remote sensing techniques and Laboratory Spectral …
M Monisha, M Muthukumar, VJ Rajesh - Remote Sensing Applications …, 2024 - Elsevier
This study employs advanced satellite imagery from ASTER and Sentinel-2A to conduct
detailed lithological map** of the Devanur and Manamedu ophiolite complexes in the …
detailed lithological map** of the Devanur and Manamedu ophiolite complexes in the …
Evaluation of support vector machine classifiers for lithological map** using PRISMA hyperspectral remote sensing data: Sahand–Bazman magmatic arc, central …
Mineral exploration is highly dependent on an accurate lithological map of a study area,
which provides comprehensive information on geologic features for exploration target …
which provides comprehensive information on geologic features for exploration target …
Achieving wheat seedling freezing injury assessment during the seedling stage using Unmanned Ground Vehicle (UGV) and hyperspectral imaging technology
Z Yao, R Shao, M Zain, Y Zhao, T Tian, J Wang… - European Journal of …, 2024 - Elsevier
Freezing injury may cause irreversible damage to wheat (Triticum aestivum L) tissues and
can significantly reduce yield and quality. Therefore, quick and non-destructively estimating …
can significantly reduce yield and quality. Therefore, quick and non-destructively estimating …