采用光谱探测技术实现伪装目标的快速识别

程呈; 高敏; 程旭德; 陈一超; 史睿

doi:10.3788/OPE.20162413.0074

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采用光谱探测技术实现伪装目标的快速识别

更新时间：2020-08-13

- 采用光谱探测技术实现伪装目标的快速识别
- Fast recognition of camouflage target by spectrum detection technology
- 光学精密工程 2016年24卷第10s期页码：74-81
- 作者机构：
  
  1. 军械工程学院导弹工程系精确制导研究所,河北石家庄,050003
  2. 武汉军械士官学校导弹系,湖北武汉,430075
  3. 军械工程学院电子与光学工程系,河北石家庄,050003
  4. 北方自动控制技术研究所火控系统研发部,山西太原,030006
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（No，31200777）();武器装备预研基金重点资助项目（No.9140A05040114 JB34015）();武器装备预研基金资助项目（
- DOI：10.3788/OPE.20162413.0074
  中图分类号： O433.4;V448.134
- 收稿日期：2016-05-23，
  
  修回日期：2016-06-13，
  
  纸质出版日期：2016-11-14
- 稿件说明：
移动端阅览
程呈, 高敏, 程旭德等. 采用光谱探测技术实现伪装目标的快速识别[J]. 光学精密工程, 2016,24(10s): 74-81

CHENG Cheng, GAO Min, CHENG Xu-de etc. Fast recognition of camouflage target by spectrum detection technology[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 74-81
程呈, 高敏, 程旭德等. 采用光谱探测技术实现伪装目标的快速识别[J]. 光学精密工程, 2016,24(10s): 74-81 DOI： 10.3788/OPE.20162413.0074.

CHENG Cheng, GAO Min, CHENG Xu-de etc. Fast recognition of camouflage target by spectrum detection technology[J]. Editorial Office of Optics and Precision Engineering, 2016,24(10s): 74-81 DOI： 10.3788/OPE.20162413.0074.

摘要

为了在现代战场上实现伪装目标的快速识别，设计了一种基于光谱探测的快速目标识别系统。首先，对基于光谱探测技术的目标识别原理进行推导，分析了物质光谱的产生机理与各个物质之间光谱谱线的差异性。然后，建立了基于光谱探测的快速目标识别系统，并改进了光谱深刻模块，增加不同波段的滤光片仅对疑似目标光谱谱线进行判断，减少了系统产生的计算数据量，增强了目标识别的实时性。实验结果表明：本文提出的探测技术对伪装目标识别的正确率能够达到90%以上；在增加了滤光片之后，系统处理时间为传统系统的1/3，达到了提高系统实时性的目的。基于光谱探测技术的目标识别方法能够在一定的实时性要求下，对伪装目标进行有效识别，具有一定的军事应用价值。

Abstract

In order to realize fast recognition of camouflage targets in the modern battlefield

a fast target recognition system was designed based on spectrum detection. The principle of target recognition base on spectrum detection technology derived for analyzing the generation mechanism of substance spectrum and the difference of spectral lines among various targets. Then a fast target recognition system was established with an improved spectrum detection module and optical filters in different wavebands to identify spectral lines of camouflage target

thus decreasing the amount of generated data for calculation and enhancing the real-time performance of target recognition. The experiment results indicate that the proposed detection technology can recognize the camouflage targets with accuracy above 90%. After adding the optical filters

the processing time is 1/3 of that of the conventional system

which realizes the improvement of real-time performance of the system. The target recognition method based on spectrum detection technology can effectively recognize camouflage target under certain real-time requirement

thus having a great potential in certain military fields.

关键词

Keywords

references

李建民, 王高. 基于多光谱辐射特性的高速目标识别定位系统[J]. 光谱学与光谱分析, 2014, 34(11):3147-3151. LI J M, WANG G.High-speed target recognition positioning system based on multi-spectral radiation characteristics[J]. Spectroscopy and Spectral Analysis, 2014, 34(11):3147-3151. (in Chinese)

徐琰珂, 梁晓庚, 贾晓洪. 雷达/红外复合导引头信息融合算法[J]. 红外与激光工程, 2012, 41(1):30-36. XU Y K, LIANG X G, JIA X H. Information fusion algorithm for radar/IR compound seeker[J].Infrared and Laser Engineering, 2012, 41(1):30-36. (in Chinese)

董登峰, 周维虎, 纪荣祎, 等. 激光跟踪仪精密跟踪系统的设计[J]. 光学精密工程, 2016, 24(2):309-318. DONG D F, ZHOU W H, JI R W, et al.. Design of precise tracking system of laser tracker[J].Opt. Precision Eng., 2016, 24(2):309-318. (in Chinese)

王朋, 荣志斌, 何俊华, 等. 基于压缩感知的偏振光成像技术研究[J]. 红外与激光工程, 2016, 45(2):282-288. WANG P, RONG ZH B, HE J H, et al..Polarization imaging based on compressed sensing theory[J]. Infrared and Laser Engineering, 2016, 45(2):282-288. (in Chinese)

吴杰, 冯祖仁, 刘恒, 等. 水下目标多元声传感阵列网络定位方法[J]. 西安交通大学学报, 2015, 49(4):40-45. WU J, FENG Z R, LIU H, et al..A network localization method with multi-acoustic sensor array for underwater target[J]. Journal of Xi'an Jiaotong University, 2015, 49(4):40-45. (in Chinese)

聂海涛, 龙科慧, 马军, 等. 采用改进尺度不变特征变换在多变北京下实现快速目标识别[J]. 光学精密工程, 2015, 23(8):2349-2356. NIE H T, LONG K H, MA J, et al.. Fast object recognition under multiple varying background using improved SIFT method[J].Opt. Precision Eng., 2015, 23(8):2349-2356. (in Chinese)

王博, 高玉斌, 鲁旭涛. 基于光谱探测与图像识别的反伪装目标系统研究[J]. 光谱学与光谱分析, 2015, 35(5):1440-1444. WANG B, GAO Y B, LU X T. Research on anti-camouflaged target system based on spectral detection and image recognition[J].Spectroscopy and Spectral Analysis, 2015, 35(5):1440-1444. (in Chinese)

郭平, 覃冬梅, 胡占义, 等. 一种光谱识别的新方法[J]. 光谱学与光谱分析, 2003, 23(4):811-815. GUO P, QIN D M, HU ZH Y, et al.. A novel method for spectral signal pattern recognition[J].Spectroscopy and Spectral Analysis, 2003, 23(4):811-815. (in Chinese)

张良培, 李德仁. 人工神经网络在光谱识别中的应用[J]. 光谱学与光谱分析, 1999, 19(2):158-166. ZHANG L P, LI D R. Artificial neural network application in spectral recognition[J].Spectroscopy and Spectral Analysis, 1999, 19(2):158-166. (in Chinese)

熊宇虹, 温志渝, 陈刚, 等. 基于小波包分析的光谱识别方法研究[J]. 光谱学与光谱分析, 2005, 25(8):1332-1335. XIONG Y H, WEN ZH Y, CHEN G, et al.. Spectral signal recognition based on wavelet packet analysis[J].Spectroscopy and Spectral Analysis, 2005, 25(8):1332-1335. (in Chinese)

胡皆汉, 郑学仿. 实用红外光谱学[M]. 北京:科学出版社. 2011. HU J H, ZHENG X F.Practical Infrared Spectroscopy[M]. Beijing:The Science Publishing Company. 2011. (in Chinese)

魏宇童, 刘尚阔, 颜廷昱, 等. 偏振型干涉成像光谱仪谱线位置定标方法的研究[J]. 物理学报, 2016, 65(8):080601. WEI Y T, LIU SH K, YAN T Y, et al..Study on the methods of calibrating spectral line position of interference imaging spectrometer[J]. Acta Phys. Sin., 2016, 65(8):080601. (in Chinese)

张淳民. 干涉成像光谱技术[M]. 北京:科学出版社, 2010. ZHANG CH M. Study on Interference Imaging Spectroscopy[M]. Beijing:Science Press, 2010. (in Chinese)

MOLOKANOV G F. Guidance of an aircraft to the launch point of guided weapons[J]. Journal of Computer and Systems Sciences International, 2006, 45(6):128-135.

CAO Z J, XU L Y. FENG, J. L.; Automatic target recognition with joint sparse representation of heterogeneous multi-view SAR images over a locally adaptive dictionary[J]. Signal Processing, 2016, 126(2):27-34.

MARK R S, JAMES W S. A practical target recognition system for close range photogrammetry[J]. The Photogrammetric Record, 2014, 29(4):337-355.

FAN S J, FAN H Q, XIAO H T, et al.. Observability analysis of feature aided terminal guidance systems[J]. Journal of Systems Engineering and Electronics, 2015, 1(5):127-133.

张磊, 杨敏珠, 邹曜璞, 等. 红外傅里叶光谱仪的仪器线形函数及工程应用[J]. 光学精密工程, 2015, 23(12):3322-3328. ZHANG L, YANG M ZH, ZOU Y P, et al..Instrument line shape of infrared Fourier transform spectrometer and its engineer applications[J]. Opt. Precision Eng., 2015, 23(12):3322-3328. (in Chinese)

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