Laura Tusa

According to our database1, Laura Tusa authored at least 12 papers between 2018 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

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Bibliography

2020
Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data.
Remote. Sens., 2020

Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis.
Remote. Sens., 2020

Integrated Geological and Geophysical Mapping of a Carbonatite-Hosting Outcrop in Siilinjärvi, Finland, Using Unmanned Aerial Systems.
Remote. Sens., 2020

2019
A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction.
Sensors, 2019

The Application Of Subspace Clustering Algorithms In Drill-Core Hyperspectral Domaining.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Geochemical And Hyperspectral Data Fusion For Drill-Core Mineral Mapping.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

2018
Integration of Terrestrial and Drone-Borne Hyperspectral and Photogrammetric Sensing Methods for Exploration Mapping and Mining Monitoring.
Remote. Sens., 2018

A Machine Learning Technique for Drill Core Hyperspectral Data Analysis.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Extraction of Structural and Mineralogical Features from Hyperspectral Drill-Core Scans.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Long-Wave Hyperspectral Imaging for Lithological Mapping: A Case Study.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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