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Proceedings Paper

Surface properties estimation of sandy land based on multi-angle polarized image information
Author(s): Bo Jia; Ying Zhang; Huijie Zhao; Jiabin Xuan; Liyi Luo; Na Li
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Paper Abstract

In this paper a method to estimate surface roughness of sand land from multi-angle and multi-waveband polarized detections is presented. Firstly, the polarized bidirectional reflectance distribution function (pBRDF) of the sand land’s surface based on the microfacet theory was established. Then three sand samples with particle sizes of 0.5 mm, 0.7 mm and 1 mm were obtained by a series of sieves. And the polarization information was acquired by full-polarized multispectral imaging system based on Liquid Crystal Variable Retarder (LCVR). We used the nonlinear least squares method to estimate the surface roughness of from the measured data. Lastly, the analysis results show that the accuracy of sand roughness estimation is improved as the number of the angles (i.e., source incident angles and detection angles) and wavebands increase until the estimation accuracy saturates. It is indicated that the method based on polarization imaging detection to estimate sandy land surface roughness is effective.

Paper Details

Date Published: 12 December 2018
PDF: 6 pages
Proc. SPIE 10844, Advanced Laser Technology and Applications, 108440N (12 December 2018); doi: 10.1117/12.2505204
Show Author Affiliations
Bo Jia, Beihang Univ. (China)
Ying Zhang, Beihang Univ. (China)
Huijie Zhao, Beihang Univ. (China)
Jiabin Xuan, Beihang Univ. (China)
Liyi Luo, Beihang Univ. (China)
Na Li, Beihang Univ. (China)

Published in SPIE Proceedings Vol. 10844:
Advanced Laser Technology and Applications
Shibin Jiang; Lijun Wang; Zejin Liu; Wei Shi; Pu Zhou, Editor(s)

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