Laser & Optoelectronics Progress, Volume. 59, Issue 22, 2228004(2022)

Building Segmentation Model of Remote Sensing Image Combining Multiscale Attention and Edge Supervision

Xiaoyu Yang and Xili Wang*
Author Affiliations
  • School of Computer Science, Shaanxi Normal University, Xi'an 710119, Shaanxi, China
  • show less
    References(20)

    [1] Yu S, Wang X L. Remote sensing building segmentation by CGAN with multilevel channel attention mechanism[J]. Journal of Image and Graphics, 26, 686-699(2021).

    [3] Ji S P, Wei S Q. Building extraction via convolutional neural networks from an open remote sensing building dataset[J]. Acta Geodaetica et Cartographica Sinica, 48, 448-459(2019).

    [4] Chen X L, Zhao J, Chen S Y. Lightweight semantic segmentation network based on attention coding[J]. Laser & Optoelectronics Progress, 58, 1410012(2021).

    [13] Ioffe S, Szegedy C. Batch normalization: accelerating deep network training by reducing internal covariate shift[C], 448-456(2015).

    [14] Nair V, Hinton G E. Rectified linear units improve restricted Boltzmann machines[C], 807-814(2010).

    [20] Yu S, Wang X L. Remote sensing image segmentation method based on multi-level channel attention[J]. Laser & Optoelectronics Progress, 57, 041012(2020).

    Tools

    Get Citation

    Copy Citation Text

    Xiaoyu Yang, Xili Wang. Building Segmentation Model of Remote Sensing Image Combining Multiscale Attention and Edge Supervision[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2228004

    Download Citation

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

    Category: Remote Sensing and Sensors

    Received: Aug. 17, 2021

    Accepted: Oct. 13, 2021

    Published Online: Oct. 13, 2022

    The Author Email: Wang Xili (wangxili@snnu.edu.cn)

    DOI:10.3788/LOP202259.2228004

    Topics