| Citation: |
JIA Zhaohui, ZHU Lei, JIN Mingxin, ZHANG Fang, FENG Ying, ZHANG Xiaoliang, LONG Haibo. Parameter calculation and analysis of autonomous reconnaissance for UAV-borne photoelectric payload[J]. Journal of Applied Optics, 2024, 45(5): 930-936. DOI: 10.5768/JAO202445.0501007
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Autonomous reconnaissance is an automatic and intelligent reconnaissance mode of UAV-borne photoelectric payload. Parameter calculation is the premise of autonomous reconnaissance application. The autonomous reconnaissance mode of UAV-borne photoelectric payload was first introduced, then the flight speed and altitude of autonomous UAV cruise, the sensor field angle of view, pitch angle, scan speed and scan angle of photoelectric payload were calculated, the physical meaning and relationship of each parameter were analyzed, and the influence of each parameter on target recognition rate and recon time was analyzed. Finally, simulation calculation and analysis were carried out with examples, and the existing problems in practical application were pointed out, which provided a theoretical basis for practical application of this mode.
| [1] |
杜薇, 陈飞. 侦察无人机协同运用的关键技术[J]. 电子信息对抗技术, 2018, 33(1): 12-17. doi: 10.3969/j.issn.1674-2230.2018.01.003
DU Wei, CHEN Fei. Key technologies of collaborative application with reconnaissance UAVs[J]. Electronic Information Warfare Technology, 2018, 33(1): 12-17. doi: 10.3969/j.issn.1674-2230.2018.01.003
|
| [2] |
张安, 曹璐, 郭凤娟. 无人作战飞机侦察/打击一体化自主控制关键技术探讨[J]. 电光与控制, 2010, 17(1): 1-6. doi: 10.3969/j.issn.1671-637X.2010.01.001
ZHANG An, CAO Lu, GUO Fengjuan. Survey of key technologies of autonomous control on integration of reconnaissance and attack for UCAVs[J]. Electronics Optics & Control, 2010, 17(1): 1-6. doi: 10.3969/j.issn.1671-637X.2010.01.001
|
| [3] |
JAGANNATH J , JAGANNATH A , FURMAN S , et al. Deep learning and reinforcement learning for autonomous unmanned aerial systems: roadmap for theory to deployment[J/OL]. Engineering Computer Science,2020, 984:25-82[2023-03-16]. https://www.semanticscholar.org.
|
| [4] |
赵燕, 龙国庆. 侦察/打击一体化无人机自动目标识别研究[J]. 中国人民解放军电子工程学院学报, 2014, 33(2): 67-70.
ZHAO Yan, LONG Guoqing. On the automatic target recognition for the reconnaissance/strike integration system of UAV[J]. Journal of PLA Electronic Engineering Institute, 2014, 33(2): 67-70.
|
| [5] |
张中伟, 付泱, 刘辉. 无人机自动目标识别算法研究综述[C]//第四届中国航空科学技术大会论文集. 北京: 中国航空学会, 2019.
ZHANG Zhongwei, FU Yang, LIU Hui. Overview of UAV automatic target recognition algorithm[C]//Fourth China aviation science and technology conference. Beijing: Chinese Society of Aeronautics and Astronautics, 2019.
|
| [6] |
吕攀飞, 王曙光. 无人机作战平台的智能目标识别方法[J]. 激光与光电子学进展, 2019, 56(7): 116-122.
LÜ Panfei, WANG Shuguang. Intelligent target recognition method of unmanned aerial vehicle combat platform[J].Laser & Optoelectronics Progress, 2019, 56(7): 116-122.
|
| [7] |
李伦平, 刘达. 机载光电侦察吊舱综合信息处理技术发展与分析[J]. 光学与光电技术, 2017, 15(6): 29-35.
LI Lunping, LIU Da. Development and analysis of synthetic information process technology for airborne electro-optical reconnaissance pod[J], Optics & Optoelectronic Technology, 2017, 15(6): 29-35.
|
| [8] |
POUYANFAR S , SADIQ S , YAN Y , et al. A survey on deep learning: algorithms, techniques, and applications[J]. Acm Computing Surveys, 2019, 51(5): 92-1-36.
|
| [9] |
SRIVASTAVA S , NARAYAN S , MITTAL S . A survey of deep learning techniques for vehicle detection from UAV images[J]. Journal of Systems Architecture, 2021(1): 1-27.
SRIVASTAVA S , NARAYAN S , MITTAL S . A survey of deep learning techniques for vehicle detection from UAV images[J]. Journal of Systems Architecture, 2021(1): 1-27.
|
| [10] |
刘士建, 金璐. 自动目标识别算法发展综述[J]. 电光与控制, 2016, 23(10): 1-6. doi: 10.3969/j.issn.1671-637X.2016.10.001
LIU Shijian, JIN Lu. A survey on algorithms for automatic target recognition[J]. Electronics Optics & Control, 2016, 23(10): 1-6. doi: 10.3969/j.issn.1671-637X.2016.10.001
|
| [11] |
陆红强, 王俊林, 王亚楠, 等. 基于深度聚类的目标细粒度分类方法[J]. 应用光学, 2022, 43(4): 669-675. doi: 10.5768/JAO202243.0402001
LU Hongqiang, WANG Junlin, WANG Ya’nan, et al. Fine-grained target classification method based on deep clustering[J]. Journal of Applied Optics, 2022, 43(4): 669-675. doi: 10.5768/JAO202243.0402001
|
| [12] |
陶磊, 洪韬, 钞旭. 基于YOLOv3的无人机识别与定位追踪[J]. 工程科学学报, 2020, 42(4): 463-468.
TAO Lei, HONG Tao, CHAO Xu. Drone identification and location tracking based on YOLOv3[J]. Chinese Journal of Engineering, 2020, 42(4): 463-468.
|
| [13] |
蔡伟, 徐佩伟, 杨志勇, 等. 复杂背景下红外图像弱小目标检测[J]. 应用光学, 2021, 42(4): 643-650. doi: 10.5768/JAO202142.0402002
CAI Wei, XU Peiwei, YANG Zhiyong, et al. Dim-small targets detection of infrared images in complex backgrounds[J]. Journal of Applied Optics, 2021, 42(4): 643-650. doi: 10.5768/JAO202142.0402002
|
| [14] |
王宁, 李哲, 梁晓龙, 等. 无人机自主目标识别与定位应用研究[J]. 计算机测量与控制, 2021, 29(5): 215-219.
WANG Ning, LI Zhe, LIANG Xiaolong, et al. Research on application of UAV autonomous target recognition and positioning[J]. Computer Measurement & Control, 2021, 29(5): 215-219.
|
| [15] |
李良福, 陈卫东, 高强, 等. 基于深度学习的光电系统智能目标识别[J]. 兵工学报, 2022, 43(1): 162-168. doi: 10.12382/bgxb.2022.A004
LI Liangfu, CHEN Weidong, GAO Qiang, et, al. Deep learning-based intelligent target recognition technology for electro-optical system[J]. Acta Armamentarii, 2022, 43(1): 162-168. doi: 10.12382/bgxb.2022.A004
|
| [16] |
张志明, 黄种荣. 无人机光电载荷主要战技指标的需求分析与设计[J]. 舰船光学, 2011, 47(2): 1-4.
ZHANG Zhiming, HUANG Zhongrong. Technical specification oriented demand analysis and design consideration for UAV optronic payload[J]. Ship Optics, 2011, 47(2): 1-4.
|
| [17] |
袁涛, 陈建发, 潘枝峰, 等. 光电侦察系统分辨能力研究分析[J]. 电光与控制, 2019, 26(6): 85-91. doi: 10.3969/j.issn.1671-637X.2019.06.017
YUAN Tao, CHEN Jianfa, PAN Zhifeng, et, al. Analysis on resolution of electro-optical reconnaissance system[J]. Electronics Optics & Control, 2019, 26(6): 85-91. doi: 10.3969/j.issn.1671-637X.2019.06.017
|
| [18] |
朱华征, 范大鹏, 马尔玺, 等. 载体运动对光电成像系统性能的影响分析[J]. 红外技 术, 2008, 30(10): 586-590.
ZHU Huazheng, FAN Dapeng, MA Erxi, et, al. The effect of the carrier movement on the photoelectric imaging system performance[J]. Infrared Technology, 2008, 30(10): 586-590.
|
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