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基于LCVR调谐的全偏振多谱段成像系统
引用本文:Zhang Y,Zhao HJ,Cheng X,Xiong SJ. 基于LCVR调谐的全偏振多谱段成像系统[J]. 光谱学与光谱分析, 2011, 31(5): 1375-1378. DOI: 10.3964/j.issn.1000-0593(2011)05-1375-04
作者姓名:Zhang Y  Zhao HJ  Cheng X  Xiong SJ
作者单位:北京航空航天大学仪器科学与光电工程学院,精密光机电一体化技术教育部重点实验室,北京100191
基金项目:国家(863计划)项目,长江学者和创新用队发展计划
摘    要:提出一种新型全偏振多谱段成像系统,将液晶相位可变延迟器LCVR应用于全偏振成像技术,在可见-近红外波段上可快速实现光的全偏振态的精确调制.系统由光学镜头、LCVR、偏振片、滤波片和CCD探测器组成.文章首先介绍了系统结构、工作原理和光学设计,并提出了适合本系统的偏振定标方法,建立了偏振定标系统,实现了利用较小面积的偏振...

关 键 词:光学系统设计  液晶相位可变延迟器  偏振定标  偏振光谱遥感

Design of full-polarized and multi-spectral imaging system based on LCVR
Zhang Ying,Zhao Hui-jie,Cheng Xuan,Xiong Sheng-jun. Design of full-polarized and multi-spectral imaging system based on LCVR[J]. Spectroscopy and Spectral Analysis, 2011, 31(5): 1375-1378. DOI: 10.3964/j.issn.1000-0593(2011)05-1375-04
Authors:Zhang Ying  Zhao Hui-jie  Cheng Xuan  Xiong Sheng-jun
Affiliation:Key Laboratory of Precision Opto-mechatronics Technology, Ministry of Education, School of Instrumentation Science & Opto-Electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China. yingzhang@buaa.edu.cn
Abstract:A new full-polarized multi-spectral imaging system is described, which uses electronically controlled LCVR (liquid crystal variable retarder) to modulate the full-polarized state of light in the visible to IR range. The system consisted of optical lenses, LCVRs, filters and CCD. Firstly, the system structure, working theory and optical design are introduced in the present paper. A polarization calibration method is provided and the calibration system was set up, which realized high-precision polarization calibration using a small polarized source. Then, a field experiment with the imaging system was carried out. Polarized spectral images with higher spectral and spatial resolution were collected. Finally, the data acquired were rough processed to get polarization degree image of the targets. It is concluded that the experiment has proved that the imaging system is effective in obtaining full-polarized and multi- spectral data. The image captured by the system can be applied to object identification and object classification.
Keywords:
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