Laser & Optoelectronics Progress, Volume. 56, Issue 5, 051002(2019)

Object Detectionin of Remote Sensing Images Based on Convolutional Neural Networks

Pan Ou, Zheng Zhang*, Kui Lu, and Zeyang Liu
Author Affiliations
  • School of Instrumentation Science and Opto-Electronic Engineering, Beihang University, Beijing 100191, China
  • show less
    References(16)

    [2] Shao W, Yang W, Liu G et al. Car detection from high-resolution aerial imagery using multiple features. [C]∥IEEE International Geoscience and Remote Sensing Symposium, 4379-4382(2012).

    [6] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, 580-587(2014).

    [8] Jaderberg M, Simonyan K, Zisserman A et al. -02-04)[2018-07-25]. https:∥arxiv., org/abs/1506, 02025(2016).

    [9] Girshick R. Fast R-CNN. [C]∥IEEE International Conference on Computer Vision (ICCV), 1440-1448(2015).

    [11] Simonyan K. -04-10)[2018-07-25]. https:∥arxiv., org/abs/1409, 1556(2015).

    [12] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 770-778(2016).

    [13] Zhu H G, Chen X G, Dai W Q et al. Orientation robust object detection in aerial images using deep convolutional neural network. [C]∥IEEE International Conference on Image Processing (ICIP), 3735-3739(2015).

    Tools

    Get Citation

    Copy Citation Text

    Pan Ou, Zheng Zhang, Kui Lu, Zeyang Liu. Object Detectionin of Remote Sensing Images Based on Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2019, 56(5): 051002

    Download Citation

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

    Category: Image Processing

    Received: Aug. 6, 2018

    Accepted: Sep. 21, 2018

    Published Online: Jul. 31, 2019

    The Author Email: Zhang Zheng (seirios@buaa.edu.cn)

    DOI:10.3788/LOP56.051002

    Topics