• INFRARED
  • Vol. 43, Issue 5, 41 (2022)
Lu-wen TAN*, Ba-gan HASI, Chao-min CHENG, and Xuan XIE
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3969/j.issn.1672-8785.2022.05.007 Cite this Article
    TAN Lu-wen, HASI Ba-gan, CHENG Chao-min, XIE Xuan. Vehicle Detection from UAV Remote Sensing Images Based on Deep Learning[J]. INFRARED, 2022, 43(5): 41 Copy Citation Text show less
    References

    [1] Ammar A, Koubaa A, Ahmed M, et al. Vehicle Detection from Aerial Images Using Deep Learning: A Comparative Study[J]. Electronics. 2021, 10(7): 820.

    [3] Kumar S, Rajan E G, Rani S,et al. A Study on Vehicle Detection through Aerial Images: Various Challenges, Issues and Applications[C]. Greater Noida: International Conference on Computing, Communication, and Intelligent Systems, 2021.

    [5] Osco L P, Jose M J, Ana P M R, et al. A Review on Deep Learning in UAV Remote Sensing[J]. International Journal of Applied Earth Observation and Geoinformation, 2021, 102: 102456.

    [10] Guo Y, Chen S, Wu Z, et al. Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform[J]. Remote Sensing, 2021, 13(9): 1795.

    [11] Inoue Y, Masaki Y. Drone-based Remote Sensing of Crops and Soils and Its Application to Smart Agriculture[J]. Journal of The Remote Sensing Society of Japan, 2017, 37(3): 224-235.

    [16] Ronneberger O, Philipp F, Thomas B. U-net: Convolutional Networks for Biomedical Image Segmentation[C]. Cham: International conference on medical image computing and computer-assisted intervention, 2015.

    [19] Ammour N, Alhichri H, Bazi Y, et al. Deep Learning Approach for Car Detection in UAV Imagery[J]. Remote Sensing, 2017, 9(4): 312.

    [20] Moranduzzo T, Farid M. Automatic Car Counting Method for Unmanned Aerial Vehicle Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 52(3): 1635-1647.

    TAN Lu-wen, HASI Ba-gan, CHENG Chao-min, XIE Xuan. Vehicle Detection from UAV Remote Sensing Images Based on Deep Learning[J]. INFRARED, 2022, 43(5): 41
    Download Citation