基于光谱角时序不变性的红外目标识别

许伟琳; 武春风; 逯力红; 侯晴宇

doi:10.3788/CO.20120503.0257

基于光谱角时序不变性的红外目标识别

doi: 10.3788/CO.20120503.0257

1.
武汉大学遥感信息工程学院,湖北武汉 430079;
2.
湖北航天技术研究院总体设计所,湖北武汉 430034;
3.
天津工业大学理学院,天津 300387;
4.
哈尔滨工业大学空间光学工程研究中心,黑龙江哈尔滨 150001

基金项目:

国家863高技术研究发展计划资助项目(No. 863-2-2-11-7)

详细信息

通讯作者:
侯晴宇

中图分类号: TP391.14
计量
- 文章访问数: 3340
- HTML全文浏览量: 490
- PDF下载量: 815
- 被引次数: 0
出版历程
- 收稿日期: 2012-01-15
- 修回日期: 2012-03-15
- 刊出日期: 2012-06-10

IR target recognition based on invariant sequential spectral angle

1.
School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;
2.
Designing Institute of Hubei Space Technology Academy,Wuhan 430034,China;
3.
School of Science,Tianjin Polytechnic University,Tianjin 300387,China;
4.
Research Center for Space Optical Engineering,Harbin Institute of Technology,Harbin 150001,China

摘要

摘要: 为了识别空间目标与气球诱饵,提出了基于光谱角时序不变性的红外目标识别方法。通过分析证实了空间目标与气球诱饵在温度时变特性上存在差异。为了反映目标测量功率温度时变本质,消除传感器与目标距离以及等效投影面积的时变耦合对测量功率的影响,提出了利用时序光谱角作为光谱向量的时序变化量度。该量度能够刻画光谱曲线的时序变化,反演物体温度时变特性,可以作为温度时变特性不同的目标和诱饵之间聚类识别的有效判据。仿真结果表明:该方法能够有效识别空间目标与气球诱饵;通过融合时序光谱特征,为空间目标识别提供了一种新的机制。
- 红外目标识别 /
- 时序光谱 /
- 光谱角 /
- 诱饵
Abstract: An infrared target recognition method based on the invariance of spectral angle in time sequence is proposed to recognize spatial targets and balloon decoys. The difference between spatial targets and balloon decoys on the time-varying characteristics of temperature is gained. In order to reflect the time-varying characteristic essence of target measurement power temperature and to eliminate the time-varying coupling influence of the sensor, target distance and the equivalent projective area on the power measurement, the sequential spectral angle is presented as a sequence varying measure of the spectral vector. The measure can depict the sequence varying of the spectral curve and unti-demonstrate the time-varying characteristics of object temperature by the measurement, and it is regarded as an efficiency criterion of clustering recognition concept between targets and decoys. Simulation result shows that this method could effectively recognize spatial targets and balloon decoys. It provides a new mechanism for space target recognition by merging the sequential spectral characteristics.
- infrarea target recognition /
- sequential spectrum /
- spectral angle /
- decoy

HTML全文

参考文献(1)

[1] 张聪,张天序. 运动目标检测与识别方法研究[J]. 红外与激光工程 ,2004,33(2):164-168. ZHANG C,ZHANG T X. Research on detection and recognition method of moving targets[J]. Infrared and Laser Engineering,2004,33(2):164-168.(in Chinese) [2] 彭嘉雄,周文琳 .红外背景抑制与小目标分割检测[J]. 电子学报 ,1999,27(12):47-51. PENG J X,ZHOU W L. Infrared background suppression for segmenting and detecting small target[J]. Acta Electronica Sinica,1999,27(12):47-51.(in Chinese) [3] 郑文龙,张涌,汤心溢,等 .复杂背景下红外小目标实时识别方法研究[J]. 红外与毫米波学报 ,2001,20(6):433-436. ZHENG W L,ZHANG Y,TANG X Y,et al.. Real-time recognition of infrared small targets in complicated IR background[J]. J. Infrared Millimeter and Waves,2001,20(6):433-436.(in Chinese) [4] 武春风,张伟,李洁,等. 基于时空信息的红外成像系统在探测识别目标时所面临的问题及分析[J]. 光学技术 ,2005,31(2):231-234. WU CH F,ZHANG W,LI J,et al.. Problems and its analysis of infrared imaging detection and identification facing[J]. Opt. Technique,2005,31(2):231-234.(in Chinese) [5] 操乐林,武春风,侯晴宇,等. 基于光谱成像的目标识别技术综述[J]. 光学技术 ,2010,36(1):145-150. CAO L L,WU CH F,HOU Q Y,et al.. Survey of target recognition technology based on spectrum imaging[J]. Opt. Technique,2010,36(1):145-150.(in Chinese) [6] 武春风,张伟,丛明煜,等. 基于红外多光谱图像相关性的自动目标识别算法[J]. 红外与毫米波学报 ,2003,22(4):265-268. WU CH F,ZHANG W,CONG M Y,et al.. An automatic target recognition algorithm based on correlation of infrared multispectral imagery[J]. J. Infrared Millimeter and Waves,2003,22(4):265-268.(in Chinese) [7] 冯志庆,杨英慧,郭景富,等. 基于神经网络的点目标多光谱信息融合识别方法[J] .光学精密工程 ,2003,11(4):412-415. FENG ZH Q,YANG Y H,GUO J F,et al.. Fusion recognition of dot target multi-spectrum data based on ANN[J]. Opt. Precision Eng.,2003,11(4):412-415.(in Chinese) [8] BORIS M,ALEXANDER D. Development of decoy projectiles .(1997-05-06) .http://www.milparade.com/1997/19/82-83.htm. [9] TOFANI A.Computer modeling of infrared head-on emission from missile noses[J].Opt. Engineering,1990,29(2):87-96. [10] DENNISON P E,HALLIGAN K Q,ROBERTS D A. A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper[J]. Remote Sens. Environ.,2004,93(3):359-367. [11] SOUTH S,QI J G,LUSCH D P. Optimal classification methods for mapping agricultural tillage practices[J]. Remote Sens. Environ.,2004,91(1):90-97.

施引文献

附加信息(0)

访问统计