Remote Sensing Technology and Application

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Fusion of Multiscale Low-rank Representation and Two Way Recursive Filtering for Hyperspectral Image Classification

Mei LU, Jiatian LI, Wen LI, Mihong HU, Jiaxin YANG

Remote Sensing Technology and Application, 2024, 39(2): 393-404. DOI: 10.11873/j.issn.1004-0323.2024.2.0393

方法	指标	训练样本数
方法	指标	10	20	30	40	50
SVM	OA/%	82.71	84.51	85.52	87.24	87.36
	AA/%	89.21	90.46	91.77	92.72	92.94
	Kappa/%	80.85	82.81	83.93	85.81	85.94
PCA	OA/%	82.16	84.98	85.71	86.31	87.05
	AA/%	89.19	90.99	91.98	92.41	92.94
	Kappa/%	80.20	83.32	84.13	84.79	85.60
IFRF	OA/%	95.07	97.98	98.30	98.64	99.05
	AA/%	96.48	98.46	98.86	99.01	99.20
	Kappa/%	94.52	97.76	98.11	98.49	98.95
HiFi	OA/%	87.90	91.33	91.79	92.71	93.09
	AA/%	93.68	95.64	96.07	96.59	96.86
	Kappa/%	86.61	90.37	90.88	91.88	92.31
CCJSR	OA/%	84.94	86.34	89.35	89.92	90.20
	AA/%	91.22	91.97	94.09	94.36	94.44
	Kappa/%	83.29	84.85	88.17	88.76	89.11
R-VCANet	OA/%	89.23	90.39	91.83	93.27	94.25
	AA/%	94.34	95.63	96.31	97.06	97.86
	Kappa/%	88.04	89.32	90.92	92.52	93.69
SSRN	OA/%	90.57	89.83	92.49	95.89	96.94
	AA/%	94.96	96.11	97.34	97.72	98.50
	Kappa/%	89.50	88.75	91.68	95.42	96.58
MSLRR	OA/%	88.94	90.73	90.92	91.74	92.00
	AA/%	93.55	95.03	95.35	95.91	96.10
	Kappa/%	87.68	89.65	89.88	90.79	91.08
MSLRR_TWRF	OA/%	99.23	99.42	99.68	99.74	99.77
	AA/%	99.23	99.44	99.58	99.67	99.70
	Kappa/%	99.15	99.35	99.64	99.71	99.74

Table 7 Classification accuracy of different training samples for Salinas

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