Laser & Optoelectronics Progress, Volume. 57, Issue 6, 061009(2020)

Remote Sensing Aircraft Image Detection Based on Semi-Supervised Learning

Zexing Du*, Jinyong Yin, and Jian Yang
Author Affiliations
  • Computer Division of Jiangsu Automation Research Institution, Lianyungang, Jiangsu 222002, China
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    References(12)

    [3] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

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    [8] Goodfellow I, Pouget-Abadie J, Mirza M et al. Generative adversarial nets. [C]∥Advances in Neural Information Processing Systems, December 8-13, 2014, Montreal, Quebec, Canada. New York: Curran Associates., 2672-2680(2014).

    [10] Tang X L, Du Y M, Liu Y W et al. Image recognition with conditional deep convolutional generative adversarial networks[J]. Acta Automatica Sinica, 44, 855-864(2018).

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    [12] Redmon J, Farhadi A. YOLO9000: better, faster, stronger. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 6517-6525(2017).

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    Zexing Du, Jinyong Yin, Jian Yang. Remote Sensing Aircraft Image Detection Based on Semi-Supervised Learning[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061009

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    Paper Information

    Category: Image Processing

    Received: Jul. 23, 2019

    Accepted: Aug. 27, 2019

    Published Online: Mar. 6, 2020

    The Author Email: Du Zexing (duzexing@outlook.com)

    DOI:10.3788/LOP57.061009

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