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Cited by 5
Benchmark for Hyperspectral Unmixing Algorithm Evaluation

Comprehensive study on the performance optimization of hyperspectral unmixing algorithms: A focus on airborne hyperspectral data
Jung Min Ahn, Hyuk Lee, Kyunghyun Kim
https://doi.org/10.1016/j.watres.2026.125560
Journal  Water Research Volume 296 (2026), p. 125560
Crop Hyperspectral Dataset Unmixing Using Modified U-Net Model
Vytautas Paura, Virginijus Marcinkevičius
https://doi.org/10.1007/978-3-031-63543-4_13
Book  Communications in Computer and Information Science (Digital Business and Intelligent Systems) Volume 2157 (2024), p. 195
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Gaetano Settembre, Nicoletta Del Buono, Flavia Esposito, Nicolò Taggio
https://doi.org/10.1109/IGARSS53475.2024.10642930
Conference  (2024), p. 3708
Non-Negative Matrix Factorization with Averaged Kurtosis and Manifold Constraints for Blind Hyperspectral Unmixing
Chunli Song, Linzhang Lu, Chengbin Zeng
https://doi.org/10.3390/sym16111414
Journal  Symmetry Volume 16, Issue 11 (2024), p. 1414
Supervised-Blind Unmixing Comparison Technique with MiSiCNet and Deep Image Prior Model for Accurate Abundance Estimation in Hyperspectral Datasets
Bipasha Chakrabarti Banik
https://doi.org/10.62411/faith.3048-3719-95
Journal  Journal of Future Artificial Intelligence and Technologies Volume 2, Issue 2 (2025), p. 202


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