Journal of Remote Sensing / 2021 / Article / Tab 6

Research Article

Shearlet-Based Structure-Aware Filtering for Hyperspectral and LiDAR Data Classification

Table 6

Classification performance using Raw-H, Raw, 3D-CNN, miniGCN, SAE-LR, NMFL, EPCA, GGF, EMAP, OTVCA and ShearSAF for the Houston dataset with five labeled samples per class as the training set.

ClassRaw-HRaw3D-CNNMiniGCNSAE-LRNMFLEPCAGGFEMAPOTVCAShearSAF

C186.4986.8177.3791.5268.7879.9886.7679.2086.1873.4991.97
C272.2072.6272.0776.0950.4580.4778.9078.5469.6770.3782.66
C393.6794.7891.5397.2794.33100.00100.0099.9199.8998.4498.16
C491.4892.3259.3189.7090.4378.1790.8192.8579.7673.4795.61
C578.6178.8692.6198.1872.2091.8688.2979.1083.2190.9389.67
C685.2385.4360.2185.6934.4985.7290.8088.6589.0286.1291.25
C756.2861.0630.3270.8236.1776.9675.7183.6470.1255.2270.81
C836.1338.5049.1145.0760.8447.9062.1952.7042.4946.1947.63
C964.7265.4330.7348.8465.7947.4571.8772.2065.4154.3973.78
C1041.3241.5846.5445.169.3861.7463.1366.1561.5665.9367.85
C1150.9452.3947.6549.0026.5649.7784.1072.1568.4975.8774.91
C1232.2434.3029.7856.5617.3845.9149.4259.2546.1353.2156.36
C1321.8023.3426.4832.0526.6343.0458.7348.6258.6677.8886.11
C1493.5294.0772.2078.2559.4296.6198.7596.3098.0498.9699.24
C1586.6386.7086.0699.4237.0998.6899.7598.3098.5898.3099.98
OA63.9665.2056.5769.6250.6069.6675.9076.1271.3271.4278.38
Kappa0.610.620.530.670.470.670.740.740.690.690.77