MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition

arXiv:2310.03860 · eess.IV, cs.CV, eess.SP · Submitted 2023-10-05 · Read on arXiv

eess.IV, cs.CV, eess.SP

Submitted: 2023-10-05

Updated: 2023-10-05

DOI: 10.1109/TGRS.2023.3314218

Code: https://github.com/mhmdjouni/MultiHU-TD-Python

Project page: http://lesun.weebly.com/hyperspectral-data-set.html

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Abundance — 33× in this paper · explained in 1 episode
• Interpretability — 20× in this paper · explained in 15 episodes
• Spectral Signature — 12× in this paper · explained in 2 episodes
• Sparsity — 10× in this paper · explained in 4 episodes
• Regularization — 6× in this paper · explained in 3 episodes
• Core — 4× in this paper · explained in 2 episodes
• Data Fusion — 4× in this paper · explained in 3 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Alternating Direction Method of Multipliers (ADMM) — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Spectral Angle Distance — 1× in this paper
• Trace — 1× in this paper · explained in 2 episodes
• Tucker Decomposition — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Uniqueness of Nonnegative Tensor Approximations

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