• Acta Optica Sinica
  • Vol. 38, Issue 7, 0728001 (2018)
Mingming Zhu*, Yuelei Xu, Shiping Ma, Hong Tang, Peng Xin, and Hongqiang Ma
Author Affiliations
  • Graduate School, Air Force Engineering University, Xi'an, Shaanxi 710038, China
  • show less
    DOI: 10.3788/AOS201838.0728001 Cite this Article Set citation alerts
    Mingming Zhu, Yuelei Xu, Shiping Ma, Hong Tang, Peng Xin, Hongqiang Ma. Airport Detection Method with Improved Region-Based Convolutional Neural Network[J]. Acta Optica Sinica, 2018, 38(7): 0728001 Copy Citation Text show less
    References

    [1] Song M Z, Qu H S, Jin G. Weak ship target detection of noisy optical remote sensing image on sea surface[J]. Acta Optica Sinica, 37, 1011004(2017).

    [2] Zhu D, Wang B, Zhang L et al. Airport target detection in remote sensing images: A new method based on two-way saliency[J]. IEEE Geoscience and Remote Sensing Letters, 12, 1096-1100(2015). http://ieeexplore.ieee.org/document/7024147/

    [3] Qu L, Wang K R, Chen L L et al. Fast road detection based on RGBD images and convolutional neural network[J]. Acta Optica Sinica, 37, 1010003(2017).

    [4] Zhang P, Niu X, Dou Y et al. Airport detection from remote sensing images using transferable convolutional neural networks[C]. International Joint Conference on Neural Network, 2590-2595(2016).

    [5] Zhang P, Niu X, Dou Y et al. Airport detection on optical satellite images using deep convolutional neural networks[J]. IEEE Geoscience and Remote Sensing Letters, 14, 1183-1187(2017). http://ieeexplore.ieee.org/document/7946140/

    [6] Xiao Z F, Gong Y P, Long Y et al. Airport detection based on a multiscale fusion feature for optical remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 14, 1469-1473(2017). http://ieeexplore.ieee.org/document/7979532/

    [7] Xin P, Xu Y L, Ma S P et al[J]. Airport detection combining region proposal networks and adaptive pooling networks Journal of Xidian University, 2018, 121-127.

    [8] Ye G L, Sun S Y, Gao K J et al. Nighttime pedestrian detection based on faster region convolution neural network[J]. Laser & Optoelectronics Progress, 54, 081003(2017).

    [9] 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). http://doi.ieeecomputersociety.org/10.1109/TPAMI.2016.2577031

    [10] Girshick R B. Fast R-CNN[C]. International Conference on Computer Vision, 1440-1448(2015).

    [11] Yan J, Yu Y, Zhu X et al. Object detection by labeling superpixels[C]. Computer Vision and Pattern Recognition, 5107-5116(2015).

    [12] Kuo W, Hariharan B, Malik J et al. DeepBox: Learning objectness with convolutional network[C]. International Conference On Computer Vision, 2479-2487(2015).

    [13] Rothe R, Guillaumin M, Van Gool L et al. Non-maximum suppression for object detection by passing messages between windows[C]. Asian Conference on Computer Vision, 290-306(2014).

    [14] Qu Y, Li C, Zheng N et al. Airport detection base on support vector machine from a single image[C]. International Conference on Signal Processing, 546-549(2005).

    [15] Tao C, Tan Y, Cai H et al. Airport detection from large IKONOS images using clustered SIFT keypoints and region information[J]. IEEE Geoscience and Remote Sensing Letters, 8, 128-132(2011). http://ieeexplore.ieee.org/document/5523894/

    Mingming Zhu, Yuelei Xu, Shiping Ma, Hong Tang, Peng Xin, Hongqiang Ma. Airport Detection Method with Improved Region-Based Convolutional Neural Network[J]. Acta Optica Sinica, 2018, 38(7): 0728001
    Download Citation