Mineral exploration using hyperspectral data

Author:

Guha Arindam

Publisher

Elsevier

Reference68 articles.

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2. Browning, D.A., 2014. Hyperspectral remote sensing in mineral exploration: ammonium–illite as a pathfinder for gold. .

3. The determination of infrared emissivities of terrestrial surfaces;Buettner;J. Geophys. Res.,1965

4. The polarized spectra of iron in silicates: olivine. A discussion of neglected contributions from Fe2+ ions in M (1) sites;Burns;Am. Mineral.: J. Earth Planet. Mater.,1974

5. A thermal emission spectral library of rock-forming minerals;Christensen;J. Geophys. Res. Planets,2000

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1. A review on hyperspectral imagery application for lithological mapping and mineral prospecting: Machine learning techniques and future prospects;Remote Sensing Applications: Society and Environment;2024-08

2. An Exploration of False Positives Following Multispectral Analysis of Mine Tailings Extent;Canadian Journal of Remote Sensing;2024-05-31

3. Tensor Decomposition Based Latent Feature Clustering for Hyperspectral Band Selection;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. Spectral pathways for effective delineation of mafic-ultramafic rocks by using PRISMA hyperspectral data;Remote Sensing Applications: Society and Environment;2023-04

5. Deep 3D-2D Convolutional Neural Networks Combined With Mobinenetv2 For Hyperspectral Image Classification;Proceedings of the 2023 5th International Conference on Image Processing and Machine Vision;2023-01-13

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