Parameter Optimization Method for Metal Surface pBRDF Model Based on Improved Strawberry Algorithm
Source abstract
Abstract
To study the polarization reflection characteristics of metal surfaces, a parameter optimization method for the polarization bidirectional reflection distribution function (pBRDF) model of metal surfaces based on the improved strawberry algorithm has been proposed. Firstly, the light scattering characteristics of metal surfaces were analyzed and a multi-parameter pBRDF model was constructed. Then, the working mechanism of the strawberry optimization algorithm was investigated and improved by introducing the chaotic mapping and Levy flight strategy to overcome the shortcomings, such as low convergence rate and easily falling into local optimum. Finally, the method proposed in this paper was validated by simulating open-source data from references and the obtained ones with a self-built experimental platform. The results show that the proposed method outperforms those by nonlinear least squares, particle swarm optimization and the original strawberry algorithm in fitting the detected degree of polarization (DOP) data, indicating the modeling accuracy was significantly improved and better suited to characterize the polarized reflection properties of metal surfaces.
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Research context
OpenAlex topics: Manufacturing Process and Optimization · Advanced Measurement and Metrology Techniques · E-commerce and Technology Innovations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China
Key Laboratory of Construction Machinery Fault Diagnosis and Early Warning Technology of Anhui Jianzhu University, Hefei 230601, China
Polarized Light Imaging Detection Technology Anhui Provincial Key Laboratory, Hefei 230031, China
Funding
Anhui Natural Science Foundation · Anhui University Collaborative Innovation Project · Anhui Construction Plan Project · Anhui Province Higher Education Science Research Project · Anhui Province University Outstanding Youth Research Project · Anhui Province University Outstanding Young Talents Support Program
References (24)
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