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PolSAR Image Classification on San Francisco

99.39Accuracy (Bare Soil)

WaveletCNN

Updated 16d ago

Evaluation Results

Method	Links
WaveletCNN 2026.04		99.39	92.61	95.34	96.83	75.75	94.53	91.98	91.51
PolSARFormer 2026.04		99.36	97.27	96.91	90.44	90.15	93.77	94.83	90.51
DDF2Pol 2026.04		99.36	98.09	95.79	96.22	94.47	96.12	96.79	94.03
3D-CV-CNN 2026.04		99.21	99.21	91.7	95.42	94.82	94.21	96.07	91.21
3D-CNN 2026.04		98.6	93.74	95.12	90.3	82.99	92.2	92.15	88.16
HybridCVNet 2026.04		97.58	99.27	95.15	96.23	94.83	95.96	96.61	93.79
CV 2D-3D 2026.04		97.31	99.28	95.04	94.88	94.87	95.34	96.28	92.86
SDF2Net 2024.02		79.98	94.49	98.7	98.94	87.42	97.13	91.31	95.5
Wavelet CNN 2024.02		78.97	94.62	99.26	96.21	60.25	94.65	85.86	91.58
3D-CVNN 2024.02		73.13	96.31	99.24	95.52	86.44	96.19	90.33	94.07
CV-CNN-SE 2024.02		57.81	94.82	99.11	98.47	77.71	96.37	85.58	94.28
2D-CVNN 2024.02		47.49	91.27	99.37	97.78	78.87	95.8	82.95	93.38
SVM 2024.02		0.04	40.61	98.37	95.65	64.21	88.73	59.77	81.75