SOTA Hyperspectral Image Classification benchmarks and papers with code

Benchmarks

Dataset Name	SOTA Method	Metric
Pavia University (test)	JigsawHSI	Average Accuracy (AA)100	96	4d ago
Indian Pines (test)	SG-DSCNet	Overall Accuracy (OA)99.9	83	4d ago
Indian Pines	two-stage pixel-wise label propagation scheme	Overall Accuracy (OA)96.63	52	4d ago
Pavia University	STNet	Overall Accuracy (OA)100	25	4d ago
Pavia University (PU) HU-to-PU (test)	Ours	Overall Accuracy (OA)0.8482	23	4d ago
KSC (test)	EASLP	Overall Accuracy99.71	19	4d ago
Salinas (test)		Average Accuracy (AA)99.97	17	4d ago
Indian Pines to Houston Knowledge Transfer (test)	Ours (CKI)	Overall Accuracy (OA)82.82	15	4d ago
Pavia University Five labeled samples per class (test)		Class 1 Accuracy98.79	15	4d ago
Salinas Five labeled samples per class	MIFOMO	OA96.57	14	4d ago
Salinas (SA)	DSXFormer	Overall Accuracy (OA)99.95	12	4d ago
Qingpu-HSI (test)	SpecAware	Class 1 Acc84.28	8	4d ago
CASI University of Houston (test)	FreeNet	Overall Accuracy86.61	8	4d ago
Pavia to IndianPine P -> I (test)	Adaptor	Accuracy (Alfalfa)68.21	7	4d ago
Botswana (test)	DREPL	Overall Accuracy99.19	7	4d ago
PU-PC (test)	Ours	Class 1 Accuracy99.98	7	4d ago
Salinas		Running Time (s)1.01	7	4d ago
Salinas Scene 30% (train)		OA100	7	4d ago
University of Pavia 30% (train)	HybridSN	Overall Accuracy (OA)99.98	7	4d ago
Indian Pines 30% (train)	HybridSN	Overall Accuracy99.98	7	4d ago
Salinas Scene (10% train)	HybridSN	OA99.98	7	4d ago
University of Pavia 10% (train)	HybridSN	Overall Accuracy (OA)99.72	7	4d ago
Indian Pines 10% (train)	SpectralNET	Overall Accuracy98.76	7	4d ago
Synthetic Dataset (test)	CNN-MRF	OA99.55	7	4d ago
Pavia University (5% samples per class)	CNN-MRF	Overall Accuracy99.71	4	4d ago

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