Open AccessImproved atmospheric effects elimination method for pBRDF models of painted surfaces
Author(s) -
Ying Zhang,
Yi Zhang,
Haitao Zhao,
Zeying Wang
Publication year - 2017
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.25.016458
Subject(s) - radiance , remote sensing , polarimetry , polarimeter , optics , radiative transfer , diffuse sky radiation , materials science , polarization (electrochemistry) , atmospheric radiative transfer codes , environmental science , physics , scattering , geology , chemistry
A method for eliminating atmospheric effects in polarimetric imaging remote sensing detection was developed by combining the shadowing method and radiative transfer (RT) model. First, a polarized bidirectional reflectance distribution function (pBRDF) model of painted surfaces was constructed. Using the resulting polarimetric radiance composition, the atmospheric effects elimination method was developed and compared to Shell's method. Experiments were performed using a liquid-crystal-variable-retarder-based imaging polarimeter to obtain the surface pBRDFs. The proposed method showed better performance under different weather conditions than Shell's method. Furthermore, the error was below 4.8% in the proposed method (6.8% in Shell's method), indicating improved quantitative accuracy of the target physical parameters in remote sensing.