Acta Photonica Sinica, Volume. 51, Issue 6, 0610004(2022)
Multi-scale Convolutional Neural Network Driven by Sparse Second-order Attention Mechanism for Remote Sensing Scene Classification
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Fig. 2. Visualization results of feature maps learned by different network layers
Fig. 7. Confusion matrix of scene classification on AID dataset under 20% training ratios
Fig. 8. Confusion matrix of scene classification on NWPU45 dataset under 20% training ratios
Fig. 9. Visual comparison of heatmaps between MCNN-SSAM and other related networks
Table 1. Performance comparison of other related algorithms
View tableView in ArticleTable 1. Performance comparison of other related algorithms
AID NWPU45 20% 50% 10% 20% AlexNet 86.86±0.47 89.53 ±0.31 76.69 ±0.21 79.85 ±0.13 VGG⁃16 86.59 ±0.29 89.64 ±0.36 76.47 ±0.18 79.79 ±0.15 SAFF 90.25 ±0.29 93.83 ±0.28 84.23 ±0.19 87.86 ±0.14 MSCP 91.52 ±0.21 94.42 ±0.17 85.33 ±0.21 88.93 ±0.14 CapsNet 91.63 ±0.19 94.74 ±0.17 85.08 ±0.13 89.18 ±0.14 MCNN⁃SSAM 91.86 ± 0.09 94.98 ± 0.11 86.67 ± 0.10 90.61 ± 0.11
Table 2. Results of ablation and generalization experiments
View tableView in ArticleTable 2. Results of ablation and generalization experiments
AID（50%） NWPU45（20%） CNNs+SENet 91.01 83.30 CNNs+CovNet 92.97 84.90 CNNs+SSAM 93.36 85.22 MCNN 90.72 83.21 MCNN+SENet 93.34 87.04 MCNN+CovNet 93.97 88.97 MCNN-SSAM 94.98 90.61
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Kang NI, Yuqing ZHAO, Zhi CHEN. Multi-scale Convolutional Neural Network Driven by Sparse Second-order Attention Mechanism for Remote Sensing Scene Classification[J]. Acta Photonica Sinica, 2022, 51(6): 0610004
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Received: Feb. 10, 2022
Accepted: Mar. 22, 2022
Published Online: Sep. 23, 2022
The Author Email: CHEN Zhi (chenz@njupt.edu.cn)
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