Emission spectroscopy for the identification of rare earth elements using laser-induced photoluminescence. - Margret C. Fuchs; Richard Gloaguen; Jan Beyer; Sandra Jakob; Johannes Heitmann (WHISPERS, 2016)

The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration. - Richard Gloaguen; Pedram Ghamisi; Sandra Lorenz; Moritz Kirsch; Robert Zimmermann; René Booysen; Louis Andreani; Robert Jackisch; Erik Hermann; Laura Tusa; Gabriel Unger; Cecilia Contreras; et al. (IGARSS, 2018)

Line-scan detection system to identify rare earth elements in rocks. - Titus Abend; Suchinder K. Sharma; Margret C. Fuchs; Jan Beyer; Johannes Heitmann; Richard Gloaguen (IEEE SENSORS, 2019)

Multi-Source and multi-Scale Imaging-Data Integration to boost Mineral Mapping. - Richard Gloaguen; Margret C. Fuchs; Mahdi Khodadadzadeh; Pedram Ghamisi; Moritz Kirsch; René Booysen; Robert Zimmermann; Sandra Lorenz (IGARSS, 2019)

The Potential of Reflectance and Laser Induced Luminescence Spectroscopy for Near-Field Rare Earth Element Detection in Mineral Exploration. - Sandra Lorenz; Jan Beyer; Margret C. Fuchs; Peter Seidel; David Turner; Johannes Heitmann; Richard Gloaguen (Remote. Sens., 2019)

Drill-Core Mineral Abundance Estimation Using Hyperspectral and High-Resolution Mineralogical Data. - Laura Tusa; Mahdi Khodadadzadeh; Cecilia Contreras; Kasra Rafiezadeh Shahi; Margret C. Fuchs; Richard Gloaguen; Jens Gutzmer (Remote. Sens., 2020)

Hyperspectral Unmixing Using Convolutional Autoencoder For Metal Detection In Lithium-Ion Battery Recycling Applications. - Seema Chouhan; Behnood Rasti; Pedram Ghamisi; Sandra Lorenz; Margret C. Fuchs; Richard Gloaguen (WHISPERS, 2022)

Hyperspectral Domain Adaptation for the Detection of Material Types in Recycling Streams at the Example of Electrolyzers. - Behnood Rasti; Aayush Jain; Margret C. Fuchs; Pedram Ghamisi; Richard Gloaguen (IGARSS, 2023)

Masking Hyperspectral Imaging Data with Pretrained Models. - Elias Arbash; Andréa de Lima Ribeiro; Samuel T. Thiele; Nina Gnann; Behnood Rasti; Margret C. Fuchs; Pedram Ghamisi; Richard Gloaguen (WHISPERS, 2023)

Deep Learning-Based Architectures For Multimodal Instance Segmentation. - Md Omar Faruk; Behnood Rasti; Margret C. Fuchs; Richard Gloaguen; Pedram Ghamisi (WHISPERS, 2023)

A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures. - Bikram Koirala; Behnood Rasti; Zakaria Bnoulkacem; Andréa de Lima Ribeiro; Yuleika Madriz; Erik Herrmann; Arthur Gestels; Thomas De Kerf; Sandra Lorenz; Margret C. Fuchs; Koen Janssens; Gunther Steenackers; et al. (CoRR, 2023)

Multi-sensor spectral database of WEEE polymers. - Andréa de Lima Ribeiro; Margret C. Fuchs; Sandra Lorenz; Christian Röder; Johannes Heitmann; Richard Gloaguen (RODARE, 2023)

Investigating State of the Art Hyperspectral Imaging Classification Models for Plastic Types Identification. - Elias Arbash; Andréa de Lima Ribeiro; Aldino Rizaldy; Margret C. Fuchs; Pedram Ghamisi; Paul Scheunders; Richard Gloaguen (WHISPERS, 2024)

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards. - Elias Arbash; Margret C. Fuchs; Behnood Rasti; Sandra Lorenz; Pedram Ghamisi; Richard Gloaguen (CoRR, 2024)

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards. - Elias Arbash; Margret C. Fuchs; Behnood Rasti; Sandra Lorenz; Pedram Ghamisi; Richard Gloaguen (RODARE, 2024)

Polymers Hyperspectral Imaging. - Elias Arbash; Andréa de Lima Ribeiro; Aldino Rizaldy; Margret C. Fuchs; Pedram Ghamisi; Paul Scheunders; Richard Gloaguen (RODARE, 2024)

Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset. - Elias Arbash; Ahmed Jamal Afifi; Ymane Belahsen; Margret C. Fuchs; Pedram Ghamisi; Paul Scheunders; Richard Gloaguen (CoRR, 2025)