Laser & Optoelectronics Progress, Volume. 57, Issue 16, 162801(2020)
Classification of Small-Sized Sample Hyperspectral Images Based on Multi-Scale Residual Network
Figures & Tables(14)
Fig. 6. Comparison of classification accuracy of inputs with different spatial dimensions. (a) IN; (b) UP
Table 1. Sample number distribution of IN dataset
View tableTable 1. Sample number distribution of IN dataset
Sample No. Class Train Validation Test 1 Alfalfa 5 4 37 2 Corn-notill 142 143 1143 3 Corn-mintill 83 83 664 4 Corn 23 24 190 5 Grass-pasture 48 48 387 6 Grass-trees 73 73 584 7 Grass-pasture-mowed 3 3 22 8 Hay-windrow 48 47 383 9 Oats 2 2 16 10 Soybean-nottill 97 97 778 11 Soybean-mintill 245 246 1964 12 Soybean-clean 59 59 475 13 Wheat 20 20 165 14 Woods 127 126 1012 15 Building-Grass-Trees 39 38 309 16 Stone-Steel-Towers 9 9 75 Total 1023 1022 8204
Table 2. Sample number distribution of UP dataset
View tableTable 2. Sample number distribution of UP dataset
Sample No. Class Train Validation Test 1 Asphalt 331 332 5968 2 Meadows 932 933 16784 3 Gravels 105 105 1889 4 Trees 153 153 2758 5 Painted-Metal-Sheets 67 67 1211 6 Bare-Soil 251 252 4526 7 Bitumen 66 67 1197 8 Self-Blocking-Bricks 185 183 3314 9 Shadows 48 47 852 Total 2138 2139 38499
Table 3. Comparison of classification accuracy of different methods%
View tableTable 3. Comparison of classification accuracy of different methods%
Method IN UP OA AA K OA AA K SVM 78.82 74.66 76.43 86.22 85.65 85.76 CNN 91.45 89.87 90.36 96.69 96.20 95.98 Res-3D-CNN 95.63 91.02 92.35 97.65 97.24 96.85 SSRN 97.84 94.28 96.82 99.17 99.09 99.11 ResDenNet 97.98 96.48 96.89 99.33 99.14 99.21 MSRN 99.07 98.87 98.90 99.96 99.94 99.93
Table 4. Comparison of training time and test time of different algorithmss
View tableTable 4. Comparison of training time and test time of different algorithmss
Dataset Time CNN Res-3D-CNN SSRN ResDenNet MSRN IN Training time 509.50 596.40 628.60 256.52 229.61 Test time 6.42 6.89 7.97 5.42 7.46 UP Training time 1321.60 1256.20 1034.40 203.47 192.96 Test time 8.73 18.69 16.54 17.85 22.57
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Xiangdong Zhang, Tengjun Wang, Yun Yang. Classification of Small-Sized Sample Hyperspectral Images Based on Multi-Scale Residual Network[J]. Laser & Optoelectronics Progress, 2020, 57(16): 162801
Paper Information
Category: Remote Sensing and Sensors
Received: Nov. 21, 2019
Accepted: Dec. 31, 2019
Published Online: Aug. 5, 2020
The Author Email: Zhang Xiangdong (xiangdong2018@chd.edu.cn)
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