[1]张坤杰.车载光电桅杆技术的发展现状及趋势[J].红外技术,2020,42(6):519-527.[doi:doi:10.11846/j.issn.1001_8891.202006002]
 ZHANG Kunjie.Current Status and Trend of Vehicle Photoelectric Mast Technology[J].Infrared Technology,2020,42(6):519-527.[doi:doi:10.11846/j.issn.1001_8891.202006002]
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车载光电桅杆技术的发展现状及趋势
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
42卷
期数:
2020年第6期
页码:
519-527
栏目:
出版日期:
2020-06-23

文章信息/Info

Title:
Current Status and Trend of Vehicle Photoelectric Mast Technology
文章编号:
1001-8891(2020)06-0519-09
作者:
张坤杰
昆明物理研究所,云南 昆明 650223
Author(s):
ZHANG Kunjie
Kunming Institute of Physics, Kunming 650223, China
关键词:
车载光电桅杆态势感知光电探测红外成像地面监视雷达
Keywords:
vehicle based photoelectric mast situational awareness photoelectric detection infrared imaging ground surveillance panel radar
分类号:
U667.1
DOI:
doi:10.11846/j.issn.1001_8891.202006002
文献标志码:
A
摘要:
在介绍极限意义上的几何探测距离计算方法的基础上,介绍了车载光电桅杆的结构,包括直臂式和曲臂式两种结构。在车载桅杆的应用中引入光电探测系统可增强系统的态势感知能力。随着车载光电桅杆技术日渐发展成熟以及应用领域的不断扩展,车载光电桅杆需求量有望增加。对国内外目前车载光电桅杆技术的发展现状和应用前景进行了综述。
Abstract:
Based on introducing a calculation method for the limit of geometric detection range, the structure of vehicle-based photoelectric masts with a straight arm or a crank arm is presented. Photoelectric detection system in the application of vehicle mast can enhance the situation awareness ability of the system. The market demands of the vehicle-based optoelectronic mast are expected to increase with the growing maturity of its technology and continuous expansion of its application. The current status and application prospect of vehicle-based photoelectric mast technology at home and abroad are summarized.

参考文献/References:

[1] 孙成禄. 潜艇光电桅杆[J]. 现代军事, 1996(6): 54-57.
SUN Chenglu. Submarine optronic mast system[J]. Conmilit, 1996(6): 54-57.
[2] 马永龙, 陆炳哲. 国外光电桅杆设计特色分析[J]. 舰船电子工程, 2006(6): 190-194.
MA Yonglong, LU Bingzhe. Analysis of foreign optronics mast design features[J]. Ship Electronic Engineering, 2006(6): 190-194.
[3] 张坤杰, 王忆锋. 近年来国外车载光电桅杆的发展动态[J]. 云光技术, 2018, 50(2): 19-25.
ZHANG Kunjie, WANG Yifeng. The development trends of foreign electro-optic mast system in recent years[J]. Yun Guang Ji Shu, 2018, 50(2): 19-25.
[4] 陈兆兵, 郭劲, 王恒坤. 光电桅杆的应用现状与发展趋势[J]. 光电技术应用, 2012(5): 13-16.
CHEN Zhaobing, GUO Jin, WANG Hengkun. Application actuality and development trend of electro-optic mast[J]. Electro-Optic Technology Application, 2012(5): 13-16.
[5] FLIR System. FLIR LTV [EB/OL]. [2018-10-12]. http://ww4. flir. com/ uploaded Files/flirGS/ Integrated_Solutions /Command Space/ Tactical_ Systems/LTV-Datasheet.pdf.
[6] Sina Military. The machine gun can also be equipped with radar [EB/OL] [2018-05]. http://mil.news.sina.com.cn/jssd/2018-09-15/doc- ifxeuwwr4632080.shtml.
[7] FLIR System. COMMANDSPACE CERBERUS[EB /OL]. [2018- 10-12]. https://www.flir.com/globalassets/imported-assets/ document/ cerberus- datasheet.pdf.
[8] 邓涛. 新型“布雷德利”防空战车[J]. 坦克装甲车辆, 2019(3): 17-21.
DENG Tao. New Bradley air defence vehicle[J]. Tank and Armored Vehicle, 2019(3): 17-21.
[9] FLIR System. FLIR LTV-X [M/OL]. [2018-10-12]. https:// www. flir. com/globalassets/imported-assets/document/ltx-xdata-sheet. pdf.
[10] FLIR System. FLIR MVSS [M/OL]. [2018-10-12]. https:// www. flir. com/globalassets/imported-assets/document/flir-mvss- data- sheet. pdf.
[11] 杨越, 聂辉. 捷联式光学稳定系统在光电桅杆上的应用[J]. 红外技术, 2003, 25(3): 18-26.
YANG Yue, NIE Hui. Application of strapdown optical stabilization on optronics mast[J]. Infrared Technology, 2003, 25(3):18-26.
[12] 刘彬, 宋庆杰, 徐强. 信息化战场态势感知能力发展及其影响[J]. 国防大学学报, 2012(3): 32-35.
LIU Bin, SONG Qingjie, XU Qiang. Development and influence of situational awareness in battlefield[J]. Journal of National Defence University, 2012(3): 32-35.
[13] 陈浩, 王延杰. 基于小波变换的图像融合技术研究[J]. 微电子学与计算机, 2010, 27(5): 39-41.
CHEN Hao, WANG Yanjie. Study of image fusion technology based on wavelet transform[J]. Microelectronics and Computer, 2010, 27(5): 39-41.
[14] S John Nisha Anita, C John Moses. Survey on pixel level image fusion techniques[C]//2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nano- technology (ICECCN), 2013: 141-145.
[15] LI Mingjing, DONG Yubing. Review on technology of pixel-level image fusion[C]//Proceedings of 2013 2nd International Conference on Measurement, Information and Control, 2013(1): 341-344.
[16] Rishu Garg, Preeti Gupta, Harvinder Kaur. Survey on multi-focus image fusion algorithms[C]//2014 Recent Advances in Engineering and Computational Sciences (RAECS), 2014: Doi: 10.1109/ RAECS. 2014.6799615.
[17] Altan-Ulzii Moonon, HU Jianwen. Multi-focus image fusion based on NSCT and NSST[J]. Sensing and Imaging: An International Journal, 2015, 16(1): 1-16.
[18] LI Mingjing, DONG Yubing. Review of image fusion algorithm based on multiscale decomposition[C]//Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC), 2013: 1422-1425.
[19] YANG Bo, JING Zhongliang, ZHAO Haitao. Review of pixel-level image fusion[J]. Journal of Shanghai Jiaotong University: Science, 2010, 15(1): 6-12.
[20] ZHANG Huaxun, CAO Xu. A way of image fusion based on wavelet transform[C]//2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013: 498-501.
[21] Mirajkar Pradnya P, Ruikar Sachin D. Wavelet based image fusion techniques[C]//2013 International Conference on Intelligent Systems and Signal Processing (ISSP), 2013: 77-81.
[22] Do M N, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation[J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106.
[23] da Cunha A L, ZHOU Jianping, DO M N, et al. The nonsubsampled contourlet transform, theory, design, and applications[J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.
[24] FLIR System. FLIR LVSS [M/OL]. [2018-10-12]. https:// www. flir. com/globalassets/imported-assets/document/flir-lvss-datasheet.pdf.
[25] FLIR System. FLIR KRAKEN[M/OL]. [2018-10-12]. http:// ww4. flir. com/uploaded Files/flirGS/Integrated Solutions/ Command Space/ Tactical Systems/ FLIR-KRAKEN-Datasheet.pdf.
[26] Lockheed Martin. INFIRNO [M/OL]. [2018-10-12]. https:// www. lockheedmartin.com/content/dam/lockheed-martin/mfc/pc/infirno/mfc-infirno-pc.pdf.
[27] Lockheed Martin. GYROCAM 15TS [M/OL]. [2018-10-12]. https:// www.lockheedmartin.com/content/dam/lockheed-martin/mfc/pc/gyrocam/S018-1001-01.pdf.
[28] Lockheed Martin. GYROCAM 15DHD [M/OL]. [2018-10-12]. https:// www.lockheedmartin.com/content/dam/lockheed-martin/mfc/pc/gyrocam/S018-1001-02.pdf.
[29] Rheinmetall Defence. VINGTAQS Ⅱ[M/OL]. [2018-10-12]. https:// www. Rheinmetall-defence.com/media/editor media/ rm defence/ pdfs/ prod uktpdfs/ elektro optischekmoponenten/B235e0817 Vinghog Vingtaqs Ⅱ A4 LR. pdf.
[30] 陈志奇. 基于光纤束传像的复合式光电桅杆技术研究[D]. 长沙: 国防科学技术大学, 2007.
CHEN Zhiqi. Study on Composite Optronic Mast Technology that based on the Image Transmission of Optical Fiber Bundle[D]. Changsha: National University of Defense Technology, 2007.
[31] 陈兆兵, 郭劲, 王兵, 等. 车载高架式光电探测系统的作战效能评估[J]. 光学精密工程, 2013(1): 77-86.
CHEN Zhaobing, GUO Jin, WANG Bing, et al. Operational efficiency evaluation of vehicle carrying and high supporting optic-electronic detecting system[J]. Optics and Precision Engineering, 2013(1): 77-86.
[32] 陈兆兵, 王兵, 陈宁, 等. 桅杆型光电探测系统总体精度分析[J]. 兵工学报, 2013, 30(4): 507-512.
CHEN Zhaobing, WANG Bing, CHEN Ning, et al. Analysis of overall accuracy of mast-mounted photodetection system[J]. Acta Armamentarii, 2013, 30(4): 507-512.
[33] 陈兆兵, 王兵, 庄昕宇. 桅杆型光电探测系统总体可靠性分配与校核研究[J]. 长春理工大学学报: 自然科学版, 2012(2): 45-47.
CHEN Zhaobing, WANG Bing, ZHUANG Xinyu. The reliability distributing and checking research of the whole mast opto-electronic detecting system[J]. Journal of Changchun University of Science and Technology: Natural Science Edition, 2012(2): 45-47.

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备注/Memo

备注/Memo:
收稿日期:2019-03-14;修订日期:2019-11-04.
作者简介:张坤杰(1986-),女,硕士,主要从事科技信息研究、外语翻译等工作。E-mail:kunjie.zhang@aliyun.com。
更新日期/Last Update: 2020-06-22