Study on image registration of simultaneous imaging polarization system

Yang Changjiu; Li Shuang; Qiu Zhenwei; Hong Jin; Qiao Yanli

Detection technology of imaging polarization has potential applications in target detection and remote sensing, with this technology the polarization state of light emitted from and/or reflected from scene can be measured. Simultaneous Imaging Polarization (SIP) is a new imaging polarization technology, which can avoid false polarization effects in time-sequential polarization detection system caused by the motion of the platform or target. The detection system can simultaneously obtain polarization intensity images of the same target among 0, 45, 90 and 135 on the same detector. Consequently, there is mis-registration among these four images, though the registration parameters are constant after the system is assembled. So, in order to obtain accurate polarization information of the detected target, registration accuracy of four images must reach 0.1 pixel. The polarization image registration method which was based on the spatial and frequency domain cross-correlation was presented. Firstly, pretreatment of these four images was prepared for image registration. Secondly, cross- correlation in spatial domain was used to achieve the pixel level of image registration. At last, cross-correlation in frequency-domain was used to achieve the sub-pixel level image registration. In order to validate the accuracy of this registration method, many experiments have been done and its registration accuracy can meet this SIP system's requirement.

1. Key Laboratory of Optical Calibration and Characterization,Optical Remote Sensing Center,Anhui Institute of Optical and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,China

Received Date: 2012-05-12

Rev Recd Date: 2012-06-20

Publish Date: 2013-01-25

Key words:

Abstract: Detection technology of imaging polarization has potential applications in target detection and remote sensing, with this technology the polarization state of light emitted from and/or reflected from scene can be measured. Simultaneous Imaging Polarization (SIP) is a new imaging polarization technology, which can avoid false polarization effects in time-sequential polarization detection system caused by the motion of the platform or target. The detection system can simultaneously obtain polarization intensity images of the same target among 0, 45, 90 and 135 on the same detector. Consequently, there is mis-registration among these four images, though the registration parameters are constant after the system is assembled. So, in order to obtain accurate polarization information of the detected target, registration accuracy of four images must reach 0.1 pixel. The polarization image registration method which was based on the spatial and frequency domain cross-correlation was presented. Firstly, pretreatment of these four images was prepared for image registration. Secondly, cross- correlation in spatial domain was used to achieve the pixel level of image registration. At last, cross-correlation in frequency-domain was used to achieve the sub-pixel level image registration. In order to validate the accuracy of this registration method, many experiments have been done and its registration accuracy can meet this SIP system's requirement.

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Reference (29)

[1]
[2]	Tyo J S, Goldstein D L, Chenault D B. Review of passive imaging polarimetry for remote sensing applications[J]. Applied Optics, 2006, 45(22): 5453-5469.
[3]	Wang Zhen, Qiao Yanli, Hong Jin, et al. Detecting camouflaged objects with thermal polarization imaging system[J]. Infrared and Laser Engineering, 2007, 36(6): 853-856. (in Chinese)
[4]
[5]	汪震, 乔延利, 洪津, 等. 利用热红外偏振成像技术识别伪装目标[J]. 红外与激光工程, 2007, 36(6): 853-856.
[6]	Zhang Chaoyang, Cheng Haifeng, Chen Zhaohui, et al. Polarimetric imaging of camouflage screen in visible and infrared wave band[J]. Infrared and Laser Engineering, 2009, 38(3): 424-427.
[7]	Li Shuang, Qiu Zhenwei, Yang Changjiu. Preliminary study on the detection technology of Simultaneous Imaging Polarization(SIP)[J]. Journal of Atmospheric and Environment Optics, 2010, 5(3): 198-202. (in Chinese)
[8]
[9]
[10]	Fujita K, Nishida M, Itoh Y, et al. Development of simultaneous imaging polarimeter[C]//SPIE, 2006, 6269: 62693D1-62693D8.
[11]	张朝阳, 程海峰, 陈朝辉, 等. 伪装遮障的光学与红外偏振成像[J]. 红外与激光工程, 2009, 38(3): 424-427.
[12]	Pezzaniti J L, Chenault D B. A division of aperture mwir imaging polarimeter[C]//SPIE, 2005, 5888: 58880V1 -58880V12.
[13]	Zitova B, Flusser J. Image registration methods: a survey[J]. Image and Vision Computing, 2003: 977-1000.
[14]
[15]
[16]	Gonzalez R C. Digital Image Processing Using MATLAB[M]. Beijing: Publishing House of Electronics Industry, 2005. (in Chinese)
[17]	李双, 裘桢玮, 杨长久. 同时偏振成像探测技术初探[J]. 大气与环境光学学报, 2010, 5(3): 198-202.
[18]	Guizar-Sicairos M, Thurman S T, Fienup J R. Efficient subpixel image registration algorithms[J]. Optics Letters, 2008, 34(2): 156-158.
[19]	Qiang Zanxia, Peng Jiaxiong, Wang Hongqun. Remote sensing image registration algorithm based on FFT[J]. Infrared and Laser Engineering, 2004, 33(4): 385-388. (in Chinese)
[20]
[21]	Guizar-Sicairos M, Thurman S T, Fienup J R. Efficient image registration algorithms for computation of invariant error metrics[C]//OSA Technical Digest Series, 2007: SMC3.
[22]
[23]
[24]
[25]
[26]
[27]
[28]	强赞霞, 彭嘉雄, 王洪群. 基于傅里叶变换的遥感图像配准算法[J]. 红外与激光工程, 2004, 33(4): 385-388.
[29]

Study on image registration of simultaneous imaging polarization system

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