Benchmarking Hyperspectral Foundation Models for Hyperspectral Unmixing

arXiv:2609.28283 · cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.CV

Submitted: 2026-09-23

Updated: 2026-10-08

Terminology

Abundance — 15× in this paper · explained in 1 episode
APEX — 13× in this paper · explained in 1 episode
Foundation Model — 10× in this paper · explained in 3 episodes
Foundation Models — 10× in this paper · explained in 7 episodes
Transformer — 6× in this paper · explained in 2 episodes
Benchmark — 5× in this paper · explained in 2 episodes
Model-Agnostic — 4× in this paper · explained in 2 episodes
Benchmarking — 3× in this paper · explained in 3 episodes
Feature Extraction — 3× in this paper · explained in 2 episodes
Ablation — 2× in this paper · explained in 1 episode
Ablation study — 2× in this paper · explained in 1 episode
Ensemble Learning — 2× in this paper · explained in 2 episodes
Linear Mixture Model — 2× in this paper
Sparsity — 2× in this paper · explained in 4 episodes
Attention Mechanism — 1× in this paper · explained in 3 episodes
Consistency — 1× in this paper · explained in 3 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Guided attention — 1× in this paper · explained in 2 episodes
Physical Constraints — 1× in this paper · explained in 7 episodes
Robustness — 1× in this paper · explained in 5 episodes

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