研究目的
Investigating the construction and utilization of probabilistic dynamic bidirectional reflectance distribution functions (BRDFs) for modeling reflections from surfaces illuminated by high energy lasers.
研究成果
The PD4P BRDF model represents a fully probabilistic dynamic BRDF model based on physical principles, with only four independent parameters. It successfully quantifies the dynamic and probabilistic nature of BRDF for materials illuminated by high energy lasers, though limitations remain in predicting reflections under varying conditions.
研究不足
The model does not adequately predict reflections at significantly different irradiances or account for airflow effects. It also struggles with specular patterns that cannot be approximated as a single Gaussian peak.
1：Experimental Design and Method Selection:
The study employs a new BRDF model to describe probabilistic dynamic BRDFs with four parameters. Measurements are made using images of reflected light on a screen, avoiding traditional goniometric instruments due to the dynamic nature of the reflections.
2：Sample Selection and Data Sources:
Four materials were tested, including rolled 2024 aluminum alloy and bare 304 stainless steel, with six coupons tested for each material. Data was collected using IR cameras viewing a screen illuminated by reflections from the target.
3：List of Experimental Equipment and Materials:
High power laser, IR cameras with narrow band-pass filters, diffuse screen, and various material samples.
4：Experimental Procedures and Operational Workflow:
The BRDF is measured by imaging a diffuse screen exposed to laser light reflected by a sample material. Parameters are automatically determined from the images.
5：Data Analysis Methods:
The model parameters are determined using a bisection search and least-squares fit, with variances calculated for probabilistic modeling.
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