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

Kang NI1,2, Yuqing ZHAO3, and Zhi CHEN1、*
Author Affiliations
  • 1School of Computer Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
  • 2Jiangsu Key Laboratory of Big Data Security and Intelligent Processing,Nanjing 210023,China
  • 3School of Management and Engineering Capital University of Economics and Business,Beijing 100070,China
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    References(28)

    [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).

    [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).

    [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).

    [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).

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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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    Paper Information

    Category:

    Received: Feb. 10, 2022

    Accepted: Mar. 22, 2022

    Published Online: Sep. 23, 2022

    The Author Email: CHEN Zhi (chenz@njupt.edu.cn)

    DOI:10.3788/gzxb20225106.0610004

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