地球信息科学学报

图/表详细信息

面向高光谱影像小样本分类的全局-局部特征自适应融合方法

左溪冰, 刘智, 金飞, 林雨准, 王淑香, 刘潇, 李美霖

地球信息科学学报, 2023, 25(8): 1699-1716. DOI: 10.12082/dqxxkx.2023.230058

类别序号	SVM	CDCNN	SSRN	FDSSC	DBDA	RULBP+GCN	CEGCN	GLFAF
1	96.69	98.53	99.50	99.72	99.73	98.97	99.89	99.90
2	64.75	79.04	90.67	84.95	91.10	99.18	99.53	99.83
3	45.71	68.04	90.93	93.05	91.18	48.25	99.72	99.60
4	97.72	98.68	99.58	99.63	99.62	99.16	97.91	98.33
5	52.18	64.21	75.98	83.51	79.43	66.26	99.27	99.50
6	95.80	98.95	99.34	99.65	99.56	97.66	99.69	99.62
7	99.96	99.72	99.94	99.97	99.98	99.97	99.93	99.90
8	88.11	88.64	91.67	95.37	93.84	91.65	96.62	95.91
9	70.72	77.94	88.55	87.16	81.01	88.06	96.92	97.43
OA/%	91.89	95.08	97.73	98.03	97.24	96.08	99.06	99.18
AA/%	79.07	85.97	92.91	93.67	92.58	87.68	98.83	98.89
Kappa/%	89.53	93.61	97.03	97.42	96.40	94.91	98.77	98.93

表8 LK数据集上不同分类方法的分类结果

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