Discriminating optical parameters in double-layer turbid media by backscattered polarization patterns

Xin-miao Xu , Yu-lin Yang , Lan-qing Xu

Optoelectronics Letters ›› 2011, Vol. 7 ›› Issue (3) : 233 -236.

PDF
Optoelectronics Letters ›› 2011, Vol. 7 ›› Issue (3) : 233 -236. DOI: 10.1007/s11801-011-0165-1
Article

Discriminating optical parameters in double-layer turbid media by backscattered polarization patterns

Author information +
History +
PDF

Abstract

In this letter a Monte Carlo (MC) algorithm is used to simulate the propagation of polarized light in double-layer turbid media and the 2-dimentional backscattered Stokes vectors and Mueller matrices are obtained. Relationships between backscattered Mueller matrix and optical properties, such as scattering, absorption and layered structure, are discussed in detail. Integrating the 2-dimentional Mueller matrix elements along radial and azimuthal directions, we obtain a reverse trend with respect to the optical parameters for upper and lower layers, which suggests possibilities for discriminating subtle optical properties in a double-layer structure using backscattered polarization patterns such as Mueller matrix.

Keywords

Monte Carlo / Lower Layer / Optical Parameter / Azimuthal Direction / Turbid Medium

Cite this article

Download citation ▾
Xin-miao Xu, Yu-lin Yang, Lan-qing Xu. Discriminating optical parameters in double-layer turbid media by backscattered polarization patterns. Optoelectronics Letters, 2011, 7(3): 233-236 DOI:10.1007/s11801-011-0165-1

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

XuL., ZhangC. B., XuN., LiuS. X., ZhouL. Y.. Optoelectronics Letters, 2010, 6: 77

[2]

YeQ., LiF. X., LiuY., ZhouW. Y., ZhangC. P., TianJ. G.. J. Optoelectron. Laser, 2009, 20: 126

[3]

LiC., KattawarG. W., YangP.. Opt. Express, 2006, 14: 3616

[4]

DenY., ZengS. Q., LuQ., ZhuD., LuoQ. M.. Opt. Express, 2007, 15: 9672

[5]

DevlaminckV.. J. Opt. Soc. Am. A, 2010, 27: 1529

[6]

HeH., ZengN., LiW., YunT. L., LiaoR., HeY. H., MaH.. Opt. Lett., 2010, 35: 2323

[7]

AntonelliM. R., PierangeloA., NovikovaT., ValidireP., BenaliA., GayetB., MartinoA. D.. Opt. Express, 2010, 18: 10200

[8]

TodorovicM., JiaoS. L., AiJ., Pereda-CubianD., StoicaG., WangL. H.. Opt. Express, 2008, 16: 10279

[9]

XuL. Q., LiH., XieS. S.. Acta Physica Sinica, 2008, 57: 6018

[10]

XuL. Q., LiH., XieS. S.. Chin. Opt. Lett., 2007, 5: 102

[11]

NeeT. W., NeeS. F., YangD. M., HuangY. S.. J. Opt. Soc. Am. A, 2008, 25: 1030

[12]

LiX., RanasinghesagaraJ. C., YaoG.. Opt. Express, 2008, 16: 9927

[13]

BaharE.. J. Opt. Soc. Am. B, 2008, 25: 218

[14]

DilletJ., BaravianC., CatonF., ParkerA.. Appl. Opt., 2006, 45: 4669

[15]

XuL. Q., LiH., XiaoZ. Y.. Acta Physica Sinica, 2008, 57: 6024

[16]

XuL. Q., LiH., ZhengY. P.. Chin. Opt. Lett., 2009, 7: 64

[17]

WangL. H., JacquesS. L., ZhengL. Q.. Comput. Methods Programs Biomed., 1997, 54: 141

[18]

WangL. H., JacquesS. L., ZhengL. Q.. Comput. Methods Programs Biomed., 1995, 47: 131

AI Summary AI Mindmap
PDF

132

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/