H. Eichstaedt

A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach

M. Denk, C. Glaesser, Yaron Ogen, 2022, European Journal of Remote Sensing.

Quantification of the Spectral Variability of Ore-Bearing Granodiorite under Supervised and Semisupervised Conditions: An Upscaling Approach

M. Denk, C. Glaesser, Rudolf Suppes, 2021, Journal of Spectroscopy.

Detection of gaseous plumes in airborne hyperspectral imagery

Martin Chamberland, Marc-André Gagnon, Eyal Agassi, 2016, SPIE Defense + Security.

Performance measurements of machine learning and different neural network designs for prediction of geochemical properties based on hyperspectral core scans

R. Kahnt, H. Eichstaedt, C. Ho, 2022, Australian Journal of Earth Sciences.

Quantitative estimation of clay minerals in airborne hyperspectral data using a calibration field

Rudolf Suppes, Holger Eichstaedt, Tugsbuyan Tsedenbaljir, 2020, Journal of Applied Remote Sensing.