改进的残差式3D-CNN和近邻注意力的高光谱遥感图像分类

潘增滢, 吴瑞姣, 林易丰, 翁谦, 林嘉雯

Hyperspectral remote sensing image classification using improved residual 3D-CNN and neighborhood attention

PAN Zengying, WU Ruijiao, LIN Yifeng, WENG Qian, LIN Jiawen

表5 不同大小空间块分类精度对比

Tab.5 Comparison of classification accuracy for different patch sizes

数据集 精度 7 9 11 13 15 IP OA/% 99.27 99.39 99.22 98.97 98.65 AA/% 98.60 99.06 98.85 95.83 91.74 Kappa 0.991 7 0.993 0 0.991 1 0.988 3 0.984 6 PU OA/% 99.19 99.42 99.58 99.67 99.64 AA/% 98.56 99.04 99.18 99.35 99.33 Kappa 0.989 3 0.992 3 0.994 4 0.995 6 0.995 2 HO OA/% 98.42 98.64 98.52 98.42 98.34 AA/% 97.98 98.32 97.95 97.78 97.68 Kappa 0.982 8 0.985 2 0.983 9 0.982 8 0.981 9