Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1401001(2021)

Scene Classification of Remote Sensing Images Based on RCF Network

Shuxin Zhu1, Zijun Zhou1, Xingjian Gu1, Shougang Ren1、*, and Huanliang Xu1,2
Author Affiliations
  • 1College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
  • 2National Engineering and Technology Center for Information Agriculture, Nanjing, Jiangsu 210095, China
  • show less
    References(31)

    [1] Yu D H, Zhang B M, Zhao C et al. Scene classification of remote sensing image using ensemble convolutional neural network[J]. Journal of Remote Sensing, 24, 717-727(2020).

    [3] Sivic J, Zisserman A. Video Google: a text retrieval approach to object matching in videos[C]. //Proceedings Ninth IEEE International Conference on Computer Vision, October 13-16, 2003, Nice, France, 1470-1477(2003).

    [6] Zhao L J, Tang P. Improved visual vocabularies for scene classification of high resolution remote sensing imagery in urban areas[C]. //2019 Joint Urban Remote Sensing Event (JURSE), May 22-24, 2019, Vannes, France.(2019).

    [12] Cheng G, Ma C C, Zhou P C et al. Scene classification of high resolution remote sensing images using convolutional neural networks[C]. //2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 10-15, 2016, Beijing, China., 767-770(2016).

    [15] Szegedy C, Liu W, Jia Y Q et al. Going deeper with convolutions[C]. //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA.(2015).

    [16] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 770-778(2016).

    [17] Hu J, Shen L, Albanie S et al. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2011-2023(2020).

    [18] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11211, 3-19(2018).

    [19] Zhou B L, Khosla A, Lapedriza A et al. Learning deep features for discriminative localization[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 2921-2929(2016).

    [20] Selvaraju R R, Cogswell M, Das A et al. Grad-CAM: visual explanations from deep networks via gradient-based localization[C]. //2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy, 618-626(2017).

    [23] Bian X Y, Fei X J, Mu N. Remote sensing image scene classification based on scale-attention network[J]. Journal of Computer Applications, 40, 872-877(2020).

    [24] Wang P, Liu R, Xin X J et al. Scene Classification of optical remote sensing images based on residual networks[J]. Laser & Optoelectronics Progress, 58, 0210001(2021).

    [27] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C]. //2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA., 3431-3440(2015).

    [28] Xia G S, Hu J W, Hu F et al. AID: a benchmark data set for performance evaluation of aerial scene classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 55, 3965-3981(2017).

    Tools

    Get Citation

    Copy Citation Text

    Shuxin Zhu, Zijun Zhou, Xingjian Gu, Shougang Ren, Huanliang Xu. Scene Classification of Remote Sensing Images Based on RCF Network[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1401001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Sep. 15, 2020

    Accepted: Nov. 14, 2020

    Published Online: Jun. 30, 2021

    The Author Email: Shougang Ren (rensg@njau.edu.cn)

    DOI:10.3788/LOP202158.1401001

    Topics