EURASIP Journal on Advances in Signal Processing

Table 4 Performance of different fusion strategies

From: Multilayer graph spectral analysis for hyperspectral images

	TS/C	MV	VA	DV	VN	TV
Indian Pines
MS- PCA	5	0.6663	0.7241	0.7334	0.7263	0.7265
	10	0.7476	0.7778	0.7829	0.7661	0.7661
MLG- MRC	5	0.7164	0.7338	0.7260	0.7271	0.7295
	10	0.8220	0.8253	0.8253	0.7886	0.7823
Pavia University
MS- PCA	5	0.7078	0.7440	0.7317	0.7798	0.7712
	10	0.8447	0.8541	0.8553	0.8588	0.8500
MLG- MRC	5	0.8162	0.8140	0.8240	0.7977	0.8085
	10	0.8549	0.8586	0.8605	0.8459	0.8435
Salinas
MS- PCA	5	0.8521	0.9256	0.9349	0.9655	0.9634
	10	0.9662	0.9774	0.9718	0.9789	0.9765
MLG- MRC	5	0.9469	0.9456	0.9485	0.9844	0.9622
	10	0.9872	0.9874	0.9873	0.9857	0.9942

The best performances are marked in bold

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