Samuel T. Thiele
Orcid: 0000-0003-4169-0207
According to our database1,
Samuel T. Thiele
authored at least 20 papers
between 2016 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
A Spectral and Spatial Comparison of Satellite-Based Hyperspectral Data for Geological Mapping.
Remote. Sens., June, 2024
Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences.
Dataset, April, 2023
Data publication: Underground hyperspectral outcrop scanning for automated mine-face mapping - the Lithium deposit of Zinnwald/Cínovec.
Dataset, January, 2023
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences.
CoRR, 2023
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
2022
Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland.
Dataset, May, 2022
Three-dimensional, km-scale hyperspectral data of a well-exposed Zn-Pb mineral exploration target at Black Angel Mountain, Greenland.
Dataset, May, 2022
A Novel and Open-Source Illumination Correction for Hyperspectral Digital Outcrop Models.
IEEE Trans. Geosci. Remote. Sens., 2022
Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs.
Remote. Sens., 2022
Three-Dimensional, Km-Scale Hyperspectral Data of Well-Exposed Zn-Pb Mineralization at Black Angel Mountain, Greenland.
Data, 2022
Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
2021
The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Characterisation of Massive Sulphide Deposits in the Iberian Pyrite Belt Based on the Integration of Digital Outcrops and Multi-Scale, Multi-Source Hyperspectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2016