@inproceedings {2477,
	title = {A Benchmark Linear Unmixing Dataset With Spectral Variability and Ground Truth},
	booktitle = {2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)},
	year = {2025},
	pages = {1-5},
	keywords = {Communication systems, Computer networks, Digital images, endmember extraction, Ground truth, HTTP, Hyperspectral unmixing, IP networks, Network architecture, Pixel, Protocols, Radio access networks, spectral variability, Telecommunications},
	doi = {10.1109/WHISPERS69515.2025.11501633},
	author = {Haijen, Xander and Koirala, Bikram and Tao, Xuanwen and Scheunders, Paul}
}
@inproceedings {2476,
	title = {A Two-Step Linear Mixing Model for Unmixing Under Hyperspectral Variability},
	booktitle = {IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium},
	year = {2025},
	pages = {8707-8711},
	keywords = {extended linear mixing model, Geoscience and remote sensing, hyperspectral image processing, Hyperspectral imaging, Hyperspectral unmixing, Image processing, MATLAB, Mixture models, Optimization, scaled linear mixing model, spectral variability, two-step linear mixing model},
	doi = {10.1109/IGARSS55030.2025.11243310},
	author = {Haijen, Xander and Koirala, Bikram and Tao, Xuanwen and Scheunders, Paul}
}
