| 光谱学与光谱分析 |
|
|
|
|
|
| A Target Discrimination Method Based on the Active Polarization Imaging with the Distribution of Polarization Fresnel Ratio |
| GENG Li-xiang1, 2, CHEN Qian1, 2, QIAN Wei-xian1，GU Guo-hua1，PAN Jia-hui1 |
1. School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China
2. Jiangsu Key of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing 210094, China |
|
|
|
|
Abstract As the polarization characteristics are the physical property determined by the material itself, its corresponding polarization image contains abundant target’s information. Using polarization information to identify the target is always a hot research topic in the field of the target detection. Active polarization imaging has more advantages compared with passive polarization imaging because of its high signal-to-noise ratio and good controllability. In this paper, based on the detailed analysis of the theory of the distribution of polarization Fresnel reflectance ratio, a kind of active polarization imaging method is proposed with detecting the polarization Fresnel ratio of the surface of the object. The proposed method adopts two kind of polarization light with orthogonal polarization direction at the light emission part to exposure to the target scenario alternately. Then two cameras side-by-side at the detecting part respectively equipped with two orthogonal polarization direction filters to capture the polarization images. Meanwhile, the detectors are placed in different detecting direction to acquire the polarization imaging with active polarization light source illuminating. Finally, with transmitting the data to the calculating center, optical constants can be recovered from the polarization data by the optimization fitting technique. Because the materials of target’s surface are different, the corresponding optical constants are different. Then the purpose of discriminating the targets with different materials is achieved. The simulated and actual measured experiments are explored to verify the effectiveness of the proposed method. Simulation experiment shows it is not only scientific but also more convenient and effective in that the proposed method can distinguish the different materials using the calculated optical constants. The actual measured data further shows that the method is able to do better in recover optical constants of targets, especially in the distinction between metal and dielectric materials. Furthermore, the system has great application prospect in the field of target detection and camouflage recognition with its simple structure and practicability.
|
|
Received: 2015-04-10
Accepted: 2015-08-18
|
|
|
|
Corresponding Authors:
GENG Li-xiang
E-mail: 1376594359@qq.com
|
|
[1] Martin Laurenzis, Jean Michel Poyet, Yves Lutz, et al. Proceedings of SPIE—The International Society for Optical Engineering, 2012, 8542: 854203.
[2] Lemaster D A, Mahamat A H, Ratliff B M, et al. SPIE Optical Engineering and Applications. International Society for Optics and Photonics, 2013. 307.
[3] LI Quan, LIU Ze-jin, SHU Bo-hong, et al(黎 全, 刘泽金, 舒柏宏, 等). High Power Laser and Particle Beams(强激光与粒子束), 2005, 17(3): 351.
[4] ZHANG Xu-guo, JIANG Yue-song, LU Xiao-mei, et al(张绪国, 江月松, 路小梅, 等). Journal of Applied Optics(应用光学), 2008, 29(4): 580.
[5] WEN Dong-hai, JIANG Yue-song, HUA Hou-qiang, et al(闻东海, 江月松, 华厚强, 等). Infrared and Laser Engineering(红外与激光工程), 2014, 43(4): 1130.
[6] Priest R G, Meier S R. Optical Engineering, 2002, 41(5): 988.
[7] WANG Xia, ZOU Xiao-feng, JIN Wei-qi(王 霞, 邹晓风, 金伟其). Transactions of Beijing Institute of Technology(北京理工大学学报), 2011, 31(11): 1327.
[8] Conant J A, Iannarilli Jr F J. International Symposium on Optical Science and Technology. International Society for Optics and Photonics, 2002. 206.
[9] Fetrow M P, Wellems D, Sposato S H, et al. International Symposium on Optical Science and Technology. International Society for Optics and Photonics, 2002. 149.
[10] Wolff L B. IEEE Transactions on, Pattern Analysis and Machine Intelligence, 1990, 12(11): 1059.
[11] Melissa A S，Milo W H. SPIE Optical Engineering and Applications. International Society for Optics and Photonics, 2013. 379.
[12] Wakaki M, Kudo K, Shibuya T, et al. Physical Properties and Data of Optical Materials(光学材料手册). Translation by ZHOU Hai-xian, CHENG Yun-fang(周海宪, 程云芳, 译). Beijing: Chemical Industry Press(北京： 化学工业出版社), 2010. |
| [1] |
LI Xin-quan1, 2，ZHANG Jun-qiang1, 3*，WU Cong-jun1，MA Jian1, 2，LU Tian-jiao1, 2，YANG Bin3. Optical Design of Airborne Large Field of View Wide Band Polarization Spectral Imaging System Based on PSIM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 250-257. |
| [2] |
QI Chen, YU Tao*, ZHANG Zhou-feng, ZHONG Jing-jing, LIU Yu-yang, WANG Xue-ji, HU Bing-liang. Design and Research of a Compact Polarization Spectral Imaging Method Based on Double Gaussian[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2082-2089. |
| [3] |
LI Xiao1,3, LIU Shun1,2*, WANG Zhi-bin1, XUE Peng1, ZHANG Rui1, WANG Yao-li1, JING Ning1. New Method for Obtaining Full-Stokes Parameters of High-Spectral Polarization Imaging System[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3953-3958. |
| [4] |
CHEN Wei-li1, SUN Qiu-ju2, WANG Shu-hua1, LI Jun-wei1, DONG Yan-bing1, XU Wen-bin1. Influence Analysis of Target Surface Emissivity on Infrared Radiation Polarization Characteristics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 737-742. |
| [5] |
XU Qian, LEI Jun-feng*, ZENG Li-bo. Observation of and Research on Intravital Microcirculation Use of Orthogonal Polarization Multi-Spectral Technique [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(07): 1886-1889. |
|
|
|
|
