A Seven-Parameter BRDF Model with Double-Peak Characteristic Suitable for Sandy Soil

A seven-parameter BRDF model with double-peak characteristic was proposed in this paper, which can fit double-peak data. The global genetic algorithm was used to model the BRDF experimental data of sandy soil, and the parameter values and relative mean square error of the seven-parameter BRDF model...

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Main Authors: Yu-Feng Yang, Wen-Shuai Li, Han-Zhi Zhang
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/9398608
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spelling doaj-e0094a9723fd43c5af345a321f2440632020-11-24T21:39:40ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/93986089398608A Seven-Parameter BRDF Model with Double-Peak Characteristic Suitable for Sandy SoilYu-Feng Yang0Wen-Shuai Li1Han-Zhi Zhang2School of Automation & Information Engineering, Xi'an University of Technology, Xi'an 710048, ChinaSchool of Automation & Information Engineering, Xi'an University of Technology, Xi'an 710048, ChinaSchool of Automation & Information Engineering, Xi'an University of Technology, Xi'an 710048, ChinaA seven-parameter BRDF model with double-peak characteristic was proposed in this paper, which can fit double-peak data. The global genetic algorithm was used to model the BRDF experimental data of sandy soil, and the parameter values and relative mean square error of the seven-parameter BRDF model were obtained. The results proved the correctness of the model, and the relative mean square errors of this model are, respectively, 0.30%, 0.22%, 0.26%, and 0.25% corresponding to the incident angles of 15°, 30°, 45°, and 60°. Additionally, we also combined data from four incident angles to derive seven parameters, which do not depend on incident angle, and the overall error is 1.79%. Finally, in order to intuitively show the BRDF of sandy soil, 3D BRDF graph of sandy soil with different incident angles is, respectively, given. It will be of great significance in practical project applications.http://dx.doi.org/10.1155/2018/9398608
collection DOAJ
language English
format Article
sources DOAJ
author Yu-Feng Yang
Wen-Shuai Li
Han-Zhi Zhang
spellingShingle Yu-Feng Yang
Wen-Shuai Li
Han-Zhi Zhang
A Seven-Parameter BRDF Model with Double-Peak Characteristic Suitable for Sandy Soil
Mathematical Problems in Engineering
author_facet Yu-Feng Yang
Wen-Shuai Li
Han-Zhi Zhang
author_sort Yu-Feng Yang
title A Seven-Parameter BRDF Model with Double-Peak Characteristic Suitable for Sandy Soil
title_short A Seven-Parameter BRDF Model with Double-Peak Characteristic Suitable for Sandy Soil
title_full A Seven-Parameter BRDF Model with Double-Peak Characteristic Suitable for Sandy Soil
title_fullStr A Seven-Parameter BRDF Model with Double-Peak Characteristic Suitable for Sandy Soil
title_full_unstemmed A Seven-Parameter BRDF Model with Double-Peak Characteristic Suitable for Sandy Soil
title_sort seven-parameter brdf model with double-peak characteristic suitable for sandy soil
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description A seven-parameter BRDF model with double-peak characteristic was proposed in this paper, which can fit double-peak data. The global genetic algorithm was used to model the BRDF experimental data of sandy soil, and the parameter values and relative mean square error of the seven-parameter BRDF model were obtained. The results proved the correctness of the model, and the relative mean square errors of this model are, respectively, 0.30%, 0.22%, 0.26%, and 0.25% corresponding to the incident angles of 15°, 30°, 45°, and 60°. Additionally, we also combined data from four incident angles to derive seven parameters, which do not depend on incident angle, and the overall error is 1.79%. Finally, in order to intuitively show the BRDF of sandy soil, 3D BRDF graph of sandy soil with different incident angles is, respectively, given. It will be of great significance in practical project applications.
url http://dx.doi.org/10.1155/2018/9398608
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