[1] 赵云雨,[\s]{1}常晋聃.[\s]{1}对低空无人机的探测与管控新技术综述[J].[\s]{1}电子对抗,[\s]{1}2016([\s]{1}4):[\s]{1}44-[\s]{1}49.[\s]{1}

    Zhao[\s]{1}YY,[\s]{1}Chang[\s]{1}JD.[\s]{1}Detection[\s]{1}and[\s]{1}handling[\s]{1}of[\s]{1}drones[\s]{1}in[\s]{1}low[\s]{1}altitude[\s]{1}airspace[J].[\s]{1}Electronic[\s]{1}Warfare,[\s]{1}2016([\s]{1}4):[\s]{1}44-[\s]{1}49.[\s]{1}

[2] Busset J, Perrodin F, Wellig P, et al. Detection and tracking of drones using advanced acoustic cameras[J]. Proceedings of SPIE, 2015, 9647: 96470F.

[3] 汪庭霁,[\s]{1}黄伟宁,[\s]{1}范振雄,[\s]{1}等.[\s]{1}无人机侦测技术方法研究[J].[\s]{1}中国无线电,[\s]{1}2017([\s]{1}11):[\s]{1}57-[\s]{1}58.[\s]{1}

    Wang[\s]{1}TJ,[\s]{1}Huang[\s]{1}WN,[\s]{1}Fan[\s]{1}ZX,[\s]{1}et[\s]{1}al.[\s]{1}Research[\s]{1}on[\s]{1}the[\s]{1}methods[\s]{1}of[\s]{1}UAV[\s]{1}detection[\s]{1}technology[J].[\s]{1}China[\s]{1}Radio,[\s]{1}2017([\s]{1}11):[\s]{1}57-[\s]{1}58.[\s]{1}

[4] NguyenP,[\s]{1}RavindranathaM,[\s]{1}NguyenA,[\s]{1}et[\s]{1}al.[\s]{1}Investigating[\s]{1}cost-effective[\s]{1}RF-based[\s]{1}detection[\s]{1}of[\s]{1}drones[C]∥Proceedings[\s]{1}of[\s]{1}the[\s]{1}2nd[\s]{1}Workshop[\s]{1}on[\s]{1}Micro[\s]{1}Aerial[\s]{1}Vehicle[\s]{1}Networks,[\s]{1}Systems,[\s]{1}and[\s]{1}Applications[\s]{1}for[\s]{1}Civilian[\s]{1}Use,[\s]{1}June[\s]{1}26-26,[\s]{1}2016,[\s]{1}Singapore.[\s]{1}New[\s]{1}York:[\s]{1}ACM,[\s]{1}2016:[\s]{1}17-[\s]{1}22.[\s]{1}

[5] 李琴, 黄卡玛. 低空小型无人机雷达探测距离仿真分析[J]. 无线电工程, 2018, 48(4): 303-307.

    Li Q, Huang K M. Simulation analysis of radar detection range for small low-altitude UAV[J]. Radio Engineering, 2018, 48(4): 303-307.

[6] KlareJ,[\s]{1}BiallawonsO,[\s]{1}Cerutti-MaoriD.[\s]{1}Detection[\s]{1}of[\s]{1}UAVs[\s]{1}using[\s]{1}the[\s]{1}MIMO[\s]{1}radar[\s]{1}MIRA-CLE[\s]{1}Ka[C]∥Proceedings[\s]{1}of[\s]{1}EUSAR[\s]{1}2016:[\s]{1}11th[\s]{1}European[\s]{1}Conference[\s]{1}on[\s]{1}Synthetic[\s]{1}Aperture[\s]{1}Radar,[\s]{1}June[\s]{1}6-9,[\s]{1}2016,[\s]{1}Hamburg,[\s]{1}Germany.[\s]{1}Germany:[\s]{1}VDE,[\s]{1}2016:[\s]{1}731-[\s]{1}734.[\s]{1}

[7] RozantsevA,[\s]{1}LepetitV,[\s]{1}FuaP.[\s]{1}Flying[\s]{1}objects[\s]{1}detection[\s]{1}from[\s]{1}a[\s]{1}single[\s]{1}moving[\s]{1}camera[C]∥2015[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition[\s]{1}(CVPR),[\s]{1}June[\s]{1}7-12,[\s]{1}2015,[\s]{1}Boston,[\s]{1}MA,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2015:[\s]{1}4128-[\s]{1}4136.[\s]{1}

[8] Martínez C, Mondragón I F. Olivares-Méndez M A, et al. On-board and ground visual pose estimation techniques for UAV control[J]. Journal of Intelligent & Robotic Systems, 2011, 61: 301-320.

[9] 冯小雨, 梅卫, 胡大帅. 基于改进Faster R-CNN的空中目标检测[J]. 光学学报, 2018, 38(6): 0615004.

    Feng X Y, Mei W, Hu D S. Aerial target detection based on improved faster R-CNN[J]. Acta Optica Sinica, 2018, 38(6): 0615004.

[10] Dai[\s]{1}JF,[\s]{1}LiY,[\s]{1}He[\s]{1}KM,[\s]{1}et[\s]{1}al.[\s]{1}R-FCN:[\s]{1}object[\s]{1}detection[\s]{1}via[\s]{1}region-based[\s]{1}fully[\s]{1}convolutional[\s]{1}networks[C]∥Proceedings[\s]{1}of[\s]{1}the[\s]{1}30th[\s]{1}International[\s]{1}Conference[\s]{1}on[\s]{1}Neural[\s]{1}Information[\s]{1}Processing[\s]{1}Systems,[\s]{1}December[\s]{1}5-10,[\s]{1}2016,[\s]{1}Barcelona,[\s]{1}Sapin.[\s]{1}New[\s]{1}York:[\s]{1}Curran[\s]{1}Associates[\s]{1}Inc.,[\s]{1}2016:[\s]{1}379-[\s]{1}387.[\s]{1}

[11] LiuW,[\s]{1}AnguelovD,[\s]{1}ErhanD,[\s]{1}et[\s]{1}al.[\s]{1}SSD:[\s]{1}single[\s]{1}shot[\s]{1}multibox[\s]{1}detector[M][\s]{1}∥Leibe[\s]{1}B,[\s]{1}Matas[\s]{1}J,[\s]{1}Sebe[\s]{1}N,[\s]{1}et[\s]{1}al.[\s]{1}Computer[\s]{1}vision-ECCV[\s]{1}2016.[\s]{1}Lecture[\s]{1}notes[\s]{1}in[\s]{1}computer[\s]{1}science.[\s]{1}Cham:[\s]{1}Springer,[\s]{1}2016,[\s]{1}9905:[\s]{1}21-[\s]{1}37.[\s]{1}

[12] RedmonJ,[\s]{1}DivvalaS,[\s]{1}GirshickR,[\s]{1}et[\s]{1}al.[\s]{1}You[\s]{1}only[\s]{1}look[\s]{1}once:[\s]{1}unified,[\s]{1}real-time[\s]{1}object[\s]{1}detection[C]∥2016[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition[\s]{1}(CVPR),[\s]{1}June[\s]{1}27-30,[\s]{1}2016,[\s]{1}Las[\s]{1}Vegas,[\s]{1}NV,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2016:[\s]{1}779-[\s]{1}788.[\s]{1}

[13] RedmonJ,[\s]{1}Farhadi[\s]{1}A.[\s]{1}YOLOv3:[\s]{1}an[\s]{1}incremental[\s]{1}improvement[J/OL].[\s]{1}([\s]{1}2018-04-08)[2019-03-10].[\s]{1}https:∥arxiv.org/abs/1804.[\s]{1}02767.[\s]{1}

[14] He[\s]{1}KM,[\s]{1}Zhang[\s]{1}XY,[\s]{1}Ren[\s]{1}SQ,[\s]{1}et[\s]{1}al.[\s]{1}Deep[\s]{1}residual[\s]{1}learning[\s]{1}for[\s]{1}image[\s]{1}recognition[C]∥2016[\s]{1}IEEE[\s]{1}Conference[\s]{1}on[\s]{1}Computer[\s]{1}Vision[\s]{1}and[\s]{1}Pattern[\s]{1}Recognition[\s]{1}(CVPR),[\s]{1}June[\s]{1}27-30,[\s]{1}2016,[\s]{1}Las[\s]{1}Vegas,[\s]{1}NV,[\s]{1}USA.[\s]{1}New[\s]{1}York:[\s]{1}IEEE,[\s]{1}2016:[\s]{1}770-[\s]{1}778.[\s]{1}

[15] IoffeS,[\s]{1}SzegedyC.[\s]{1}Batch[\s]{1}normalization:[\s]{1}accelerating[\s]{1}deep[\s]{1}network[\s]{1}training[\s]{1}by[\s]{1}reducing[\s]{1}internal[\s]{1}covariate[\s]{1}shift[J/OL].[\s]{1}[2015-03-02][2019-03-10].https:∥arxiv.org/abs/1502.[\s]{1}03167.[\s]{1}

[16] 任之俊, 蔺素珍, 李大威, 等. 基于改进特征金字塔的Mask R-CNN目标检测方法[J]. 激光与光电子学进展, 2019, 56(4): 041502.

    Ren Z J, Lin S Z, Li D W, et al. Mask R-CNN object detection method based on improved feature pyramid[J]. Laser & Optoelectronics Progress, 2019, 56(4): 041502.

[17] 魏湧明, 全吉成, 侯宇青阳. 基于YOLO v2的无人机航拍图像定位研究[J]. 激光与光电子学进展, 2017, 54(11): 111002.

    Wei Y M, Quan J C, Houyu Q Y. Aerial image location of unmanned aerial vehicle based on YOLO v2[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111002.