火力压制试验弹丸落点脱靶量测试方法研究

王永新; 吕游

doi:10.3788/YJYXS20173201.0048

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火力压制试验弹丸落点脱靶量测试方法研究

显示与图像 | 更新时间：2020-07-07

- 火力压制试验弹丸落点脱靶量测试方法研究
- Method of miss distance measurement for projectiles in the suppression
- 液晶与显示 2017年32卷第1期页码：48-55
- 作者机构：
  
  1.63936部队, 北京 102202
  2.中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
- 作者简介：
  
  王永新(1970-),男,河北乐亭人,高级工程师,2000年于南京理工大学获得硕士学位,主要从事装备管理方面的研究。E-mail:331799032@qq.com
- 基金信息：
  
  国家自然科学基金(No.61102023);Supported by National Natural Science Foundation of China(No.61102023)
- DOI：10.3788/YJYXS20173201.0048
  中图分类号： TP391.4;V556.2
- 收稿日期：2016-07-11，
  
  录用日期：2016-9-13，
  
  纸质出版日期：2017-01
- 稿件说明：
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王永新, 吕游. 火力压制试验弹丸落点脱靶量测试方法研究[J]. 液晶与显示, 2017,32(1):48-55.

Yong-xin WANG, You LV. Method of miss distance measurement for projectiles in the suppression[J]. Chinese journal of liquid crystals and displays, 2017, 32(1): 48-55.
王永新, 吕游. 火力压制试验弹丸落点脱靶量测试方法研究[J]. 液晶与显示, 2017,32(1):48-55. DOI： 10.3788/YJYXS20173201.0048.

Yong-xin WANG, You LV. Method of miss distance measurement for projectiles in the suppression[J]. Chinese journal of liquid crystals and displays, 2017, 32(1): 48-55. DOI： 10.3788/YJYXS20173201.0048.

摘要

本文针对传统地面炸点测试系统受地形及机动条件约束无法满足试验火力压制科目中落点脱靶量测量的问题，提出研制一套在无人机上安装自动指向摄像系统的高空拍摄装置。利用地面设置的外定标完成摄像系统内部参数修正，通过像面修正和目标位置提取，实现弹丸地面落点的高精度测试坐标的获取。实验结果表明，利用本文建立的系统，相机的成像大小为727.9 m×352.7 m，成像精度能够满足弹丸散布范围纵向100 m及横向300 m的测试需求；在探测器像元数为4 096×2 048的情况下，相机的成像精度较高，满足测试精度的试验要求。本文方法具有重要的理论意义及应用价值。

Abstract

Aiming to the problem of miss distance measurement in the suppression

which generates by the restriction of topographies and movements in the traditional burst points test system

a set of pointing system in air is established

and it is installed on an unmanned plane. By utilizing the external calibration

the internal parameters of the image pickup system are corrected. And then by correction of image plane and target position extraction

the ground points of the projectiles are obtained exactly. The experiment result shows that the imaging size of camera is 727.9 m×352.7 m

which meets the test requirement within 100 m in horizontal and 300 m in vertical. In addition

the precision of camera is 0.1 m when the pixel number is 4 096×2 048

which meets the requirement that the test precision is less than 0.3 m. The proposed method has the theoretical value and the practical significance.

关键词

Keywords

references

MIAO L, QI H, RAMANATH R, et al. Binary tree-based generic demosaicking algorithm for multispectral filter arrays[J].IEEE Transactions on Image Processing, 2006, 15(11):3550-3558.

AGGARWAL H K, MAJUMDAR A. Compressive sensing multi-spectral demosaicing from single sensor architecture[C].Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on. IEEE, 2014:334-338.

孙永明,吴谨,刘劲. 基于CS测量矩阵优化的图像融合[J]. 液晶与显示, 2014,29(3):461-465.

SUN Y M,WU J,LIU J. Image fusion based on CS measurement matrix optimization[J].Chinese Journal of Liquid Crystals and Displays, 2014, 29(3):461-465. (in Chinese)

柯洪昌, 孙宏彬. 图像序列的显著性目标区域检测方法[J]. 中国光学, 2015,8(5):768-774 KE H C, SUN H B. A saliency target area detection method of image sequence[J]. Chinese Optics, 2015,8(5):768-774.(in Chinese)

刘丹华,李平,高大化,李欢,石光明. 基于压缩感知的正六边形CFA模式彩色图像去马赛克方法[J]. 光电子·激光,2015,26(2):360-367.

LIU D H, LI P, Gao D H, et al.Color demosaicing method based on regular hexagon CFA pattern and compressive sensing[J].Journal of Optoelectronics·Laser, 2015, 26(2):360-367.(in Chinese)

MONNO Y, KIKUCHI S, TANAKA M, et al. A practical one-shot multispectral imaging system using a single image sensor[J]. IEEETransactions on Image Processing, 2015, 24(10):3048-3059.

严洁, 阮友田, 薛珮瑶. 主被动光学图像融合技术研究[J]. 中国光学, 2015,8(3):378-385.

YAN J, RUAN Y T, XUE P Y. Active and passive optical image fusion technology[J].Chinese Optics, 2015,8(3):378-385.(in Chinese)

DONOHO D L. Compressed sensing[J]. IEEE Transactions on information theory, 2006, 52(4):1289-1306.

王宇庆, 王索建. 红外与可见光融合图像的质量评价[J]. 中国光学, 2014,7(3):396-401.

WANG Y Q, WANG S J. Quality assessment method of IR and visible fusion image[J].Chinese Optics, 2014,7(3):396-401.(in Chinese)

MOHIMANI H, BABAIE-ZADEH M, JUTTEN C. A fast approach for overcomplete sparse decomposition based on smoothed norm[J].IEEE Transactions on Signal Processing, 2009, 57(1):289-301.

YASUMA F, MITSUNAGA T, ISO D, et al. Generalized assorted pixel camera:postcapture control of resolution, dynamic range, and spectrum[J]. IEEE Transactions on Image Processing, 2010, 19(9):2241-2253.

闫敬文,刘蕾,屈小波.压缩感知及应用[M].北京:国防工业出版社,2015.

YAN J W, Liu L, Qu X B.Compressive Sensing and Its Application[M]. Beijing:National Defense Industry Press, 2015.(in Chinese)

赵瑞珍,林婉娟,李浩,胡绍海. 基于光滑l_0范数和修正牛顿法的压缩感知重建算法[J]. 计算机辅助设计与图形学学报, 2012,24(4):478-484.

ZHAO R Z,LIN W J, LI H, et al.Reconstruction algorithm for compressive sensing based on smoothed 0 norm[J].Journal of Computer Aided Design &Computer Grapgics, 2012,24(4):478-484.(in Chinese)

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