@inproceedings{22573d64a4c74f1f80ba2315547f3807,
title = "Surface properties estimation of sandy land based on multi-angle polarized image information",
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.",
keywords = "Polarization information, Quantitative, Roughness",
author = "Bo Jia and Ying Zhang and Huijie Zhao and Jiabin Xuan and Liyi Luo and Na Li",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; International Symposium on Optoelectronic Technology and Application 2018: Advanced Laser Technology and Applications, OTA 2018 ; Conference date: 22-05-2018 Through 24-05-2018",
year = "2018",
doi = "10.1117/12.2505204",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Lijun Wang and Pu Zhou and Shibin Jiang and Zejin Liu and Wei Shi",
booktitle = "Advanced Laser Technology and Applications",
address = "美国",
}