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- W4313227210 abstract "For remote sensing purposes the ability to accurately model the light reflecting off of a solar panel is of great interest to the Department of Defense (DoD). The bidirectional reflectance distribution function (BRDF) describes material reflectance by describing how incident irradiance reflects into all possible scatter angles as a function of incident angle. Many such models of BRDF exist each consisting of their own advantages and tradeoffs when describing different kinds of materials. However, a solar panel has unique features that are not featured in any of these previously known models. A previous project at the Air Force Institute of Technology (AFIT)1 created a novel microfacet-like BRDF to model a solar panel with a prominent diffractive feature present which had not been previously modeled. This BRDF was coded into MATLAB and C++ for the purpose of trying to fit measured solar cell BRDF data to the model. This was accomplished by using the lsqcurvefit function in MATLAB which attempts to fit the model parameters, some of which are material parameters, to attempt to match the BRDF to plotted data. Current results have poor accuracy due to the presence of several parameters in each of the four terms in the novel BRDF function. As such further changes to code are needed to improve the fitting accuracy of the lsqcurvefit function." @default.
- W4313227210 created "2023-01-06" @default.
- W4313227210 creator A5017108007 @default.
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- W4313227210 date "2022-10-03" @default.
- W4313227210 modified "2023-09-25" @default.
- W4313227210 title "Determining solar cell BRDF model parameters by fitting to high-resolution out-of-plane measurement data" @default.
- W4313227210 doi "https://doi.org/10.1117/12.2632803" @default.
- W4313227210 hasPublicationYear "2022" @default.
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