• Laser & Optoelectronics Progress
  • Vol. 57, Issue 4, 041006 (2020)
Meng Zhang, Shicheng Wang, and Dongfang Yang*
Author Affiliations
  • College of Missile Engineering, Rocket Force University of Engineering, Xi'an, Shaanxi 710025, China
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    DOI: 10.3788/LOP57.041006 Cite this Article Set citation alerts
    Meng Zhang, Shicheng Wang, Dongfang Yang. Air-to-Ground Target Detection Algorithm Based on Attention Learning in Key Areas[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041006 Copy Citation Text show less
    References

    [1] Wang J Q, Li J S, Zhou X W et al. Improved SSD algorithm and its performance analysis of small target detection in remote sensing images[J]. Acta Optica Sinica, 39, 0628005(2019).

    [2] Wang W X, Fu Y T, Dong F et al. Infrared ship target detection method based on deep convolution neural network[J]. Acta Optica Sinica, 38, 0712006(2018).

    [3] Ou P, Zhang Z, Lu K et al. Object detection in remote sensing images based on convolutional neural networks[J]. Laser & Optoelectronics Progress, 56, 051002(2019).

    [4] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 580-587(2014).

    [5] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 60, 91-110(2004). http://doi.ieeecomputersociety.org/resolve?ref_id=doi:10.1023/B:VISI.0000029664.99615.94&rfr_id=trans/tp/2008/10/ttp2008101683.htm

    [6] Bay H. Tuytelaars T, van Gool L. SURF: speeded up robust features[M]. ∥Leonardis A, Bischof H, Pinz A. Computer vision-ECCV 2006. Lecture notes in computer science. Berlin, Heidelberg: Springer, 3951, 404-417(2006).

    [7] Dalal N, Triggs B. Histograms of oriented gradients for human detection. [C]∥2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), June 20-25, 2005, San Diego, CA, USA. New York: IEEE, 8588935(2005).

    [8] Simonyan K. -04-10)[2019-07-10]. https:∥arxiv., org/abs/1409, 1556(2015).

    [9] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

    [10] Howard A G, Zhu M, Chen B et al. -04-17). https:∥arxiv., org/abs/1704, 04861(2017).

    [11] Huang G. Liu Z, van der Maaten L, et al. Densely connected convolutional networks. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2261-2269(2017).

    [12] Girshick R. Fast R-CNN. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 1440-1448(2015).

    [13] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks. [C]∥Advances in Neural Information Processing Systems, December 7-12, 2015, Montreal, Quebec, Canada. Canada: NIPS, 91-99(2015).

    [14] He K M, Gkioxari G, Dollar P et al. Mask R-CNN[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 386-397(2020).

    [15] Dai J F, Li Y, He K M et al. R-FCN: object detection via region-based fully convolutional networks. [C]∥Advances in Neural Information Processing Systems, December 5-10, 2016, Barcelona, Spain. Canada: NIPS, 379-387(2016).

    [16] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 779-788(2016).

    [17] Liu W, Anguelov D, Erhan D et al. SSD: single shot multibox detector[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 9905, 21-37(2016).

    [18] Li Z X. -05-17)[2019-07-10]. https:∥arxiv., org/abs/1712, 00960(2018).

    [19] Lin T Y, Dollar P, Girshick R et al. Feature pyramid networks for object detection. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 936-944(2017).

    [20] Xie J R, Li F M, Wei H et al. Enhancement of single shot multibox detector for aerial infrared target detection[J]. Acta Optica Sinica, 39, 0615001(2019).

    [21] Zhang X N, Wang T T, Qi J Q et al. Progressive attention guided recurrent network for salient object detection. [C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 714-722(2018).

    [22] Liu K, Mattyus G. Fast multiclass vehicle detection on aerial images[J]. IEEE Geoscience and Remote Sensing Letters, 12, 1938-1942(2015).

    [23] Najibi M, Yang F, Wang Q S et al. Towards the success rate of one: real-time unconstrained salient object detection. [C]∥2018 IEEE Winter Conference on Applications of Computer Vision (WACV), March 12-15, 2018, Lake Tahoe, NV, USA. New York: IEEE, 1432-1441(2018).

    [24] Everingham M, Winn J. The PASCAL visual object classes challenge 2010 (VOC2010) development kit contents. [C]∥Conference on Machine Learning Challenges: Evaluating Predictive Uncertainty Visual Object Classification[S.l.: s.n.], 117-176(2011).

    [25] Liu S T, Huang D, fast object detection[EB/OL]. -07-26)[2019-07-10]. https:∥arxiv., org/abs/1711, 07767(2018).

    [26] Zhang S F, Wen L Y, Bian X et al. -01-03)[2019-07-10]. https:∥arxiv., org/abs/1711, 06897(2018).

    Meng Zhang, Shicheng Wang, Dongfang Yang. Air-to-Ground Target Detection Algorithm Based on Attention Learning in Key Areas[J]. Laser & Optoelectronics Progress, 2020, 57(4): 041006
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