Multi-scale Convolutional Neural Network Driven by Sparse Second-order Attention Mechanism for Remote Sensing Scene Classification

Kang NI; Yuqing ZHAO; Zhi CHEN

doi:10.3788/gzxb20225106.0610004

[1] Gong CHENG, Ceyuan YANG, Xiwen YAO et al. When deep learning meets metric learning: remote sensing image scene classification via learning discriminative CNNs. IEEE Transactions on Geoscience and Remote Sensing, 56, 2811-2821(2018).

[2] Cuiping SHI, Peng WANG, Liguo WANG. Branch feature fusion convolution network for remote sensing scene classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5194-5210(2020).

[3] Cheng PENG, Yangyang LI, Licheng JIAO et al. Efficient convolutional neural architecture search for remote sensing image scene classification. IEEE Transactions on Geoscience and Remote Sensing, 59, 6092-6105(2021).

[4] Peicheng ZHOU, Gong CHENG, Xiwen YAO et al. Machine learning paradigms in high-resolution remote sensing image interpretation. National Remote Sensing Bulletin, 25, 182-197(2021).

[5] Chao TAO, Ji QI, Weipeng LU et al. Remote sensing image scene classification with self-supervised paradigm under limited labeled samples. IEEE Geoscience and Remote Sensing Letters, 19, 8004005(2022).

[6] Jianan WANG, Yue GAO, Jun SHI et al. Scene classification of optical high-resolution remote sensing images using vision transformer and graph convolutional network. Acta Photonica Sinica, 50, 1128002(2021).

[7] Kang NI, Pengfei LIU, Peng WANG. Compact global-local convolutional network with multifeature fusion and learning for scene classification in synthetic aperture radar imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 7284-7296(2021).

[8] Jie XIE, Nanjun HE, Leyuan FANG et al. Scale-free convolutional neural network for remote sensing scene classification. IEEE Transactions on Geoscience and Remote Sensing, 57, 6916-6928(2019).

[9] Gong CHENG, Zhenpeng LI, Xiwen YAO et al. Remote sensing image scene classification using bag of convolutional features. IEEE Geoscience and Remote Sensing Letters, 14, 1735-1739(2017).

[10] Nanjun HE, Leyuan FANG, Shutao LI et al. Remote sensing scene classification using multilayer stacked covariance pooling. IEEE Transactions on Geoscience and Remote Sensing, 56, 6899-6910(2018).

[11] Kang NI, Yiquan WU. Scene classification from remote sensing images using mid-level deep feature learning. International Journal of Remote Sensing, 41, 1415-1436(2020).

[12] Zhou YANG, Xiaodong MU, Shuyang WANG et al. Scene classification of remote sensing images based on multiscale features fusion. Optics and Precision Engineering, 26, 3099-3107(2018).

[13] Xiaoqiang LU, Hao SUN, Xiangtao ZHENG. A feature aggregation convolutional neural network for remote sensing scene classification. IEEE Transactions on Geoscience and Remote Sensing, 57, 7894-7906(2019).

[14] Ruoyao LI, Bo ZHANG, Bin WANG. Remote sensing image scene classification based on multilayer feature context encoding network. Journal of Infrared and Millimeter Waves, 40, 530-538(2021).

[15] Jie HU, Li SHEN, A SAMUEL et al. Squeeze-and-excitation networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2011-2023(2020).

[16] S WOO, J PARK, J Y LEE et al. Cbam: Convolutional block attention module, 3-19(2018).

[17] Yue CAO, Jiarui XU, Stephen LIN et al. Gcnet: non-local networks meet squeeze-excitation networks and beyond, 1971-1980(2019).

[18] Qilong WANG, Banggu WU, Pengfei ZHU et al. ECA-Net: efficient channel attention for deep convolutional neural networks, 11531-11539(2020).

[19] Zilin GAO, Jiangtao XIE, Qilong WANG et al. Global second-order pooling convolutional networks, 3024-3033(2019).

[20] B BRYAN, Yuan GONG, Yizhe ZHANG et al. Second-order non-local attention networks for person re-identification, 3760-3769(2019).

[21] I C DUTA, Li LIU, Fan ZHU et al. Pyramidal convolution: rethinking convolutional neural networks for visual recognition. https://arxiv.org/abs/2006.11538

[22] Zhi GAO, Yuwen WU, Xiaoxun ZHANG et al. Revisiting bilinear pooling: a coding perspective, 3954-3961(2020).

[23] Xiao LI, Lin LEI, Gangyang KUANG. Locality-constrained bilinear network for land cover classification using heterogeneous images. IEEE Geoscience and Remote Sensing Letters, 19, 2501305(2022).

[24] Guisong XIA, Jingwen HU, Fan HU et al. AID: a benchmark data set for performance evaluation of aerial scene classification. IEEE Transactions on Geoscience and Remote Sensing, 55, 3965-3981(2017).

[25] Gong CHENG, Junwei HAN, Xiaoqiang LU. Remote sensing image scene classification: benchmark and state of the art. Proceedings of the IEEE, 105, 1865-1883(2017).

[26] Ran CAO, Leyuan FANG, Ting LU et al. Self-attention-based deep feature fusion for remote sensing scene classification. IEEE Geoscience and Remote Sensing Letters, 18, 43-47(2021).

[27] Wei ZHANG, Ping TANG, Lijun ZHAO. Remote sensing image scene classification using cnn-capsnet. Remote Sensing, 11, 494(2019).

[28] R R SELVARAJU, M COGWELL, A DAS et al. Grad-cam: visual explanations from deep networks via gradient-based localization. International Journal of Computer Vision, 128, 336-359(2020).