基于BRDF的粗糙目标表面统计建模与验证

摘要

利用从五参量模型简化而来的BRDF模型对水泥板、花岗岩的实验数据进行优化拟合．通过与实测数据比较，结果表明，二参量模型对粗糙度大的目标表面BRDF统计建模是完全可行、有效的，但对粗糙度小的目标表面不适用．而三参量、四参量模型对各种样片表面都能得到较好的拟合效果．简化模型的准确性为粗糙目标表面统计建模简化了计算、节约了时间，便于进一步对粗糙目标作相关的多光谱成像研究与仿真．%In this paper, a BRDF five-parameter model is simplified as two-parameter model, three-parameter model and four-parameter model. The experimental data of the cement board and moorstone is fit with the simplified models. By comparison with the measured data, the results show that the two-parameter model are entirely feasible and effective for the target surface roughness BRDF statistical modeling, but not applying for the small target surface roughness. The three- parameter model and the four-parameter model can get a better fitting result for a variety of sample surface. The accuracy of the simplified model for the statistical modeling of rough target surface can simplify the calculation, save time and facilitate further the research of multi-spectral imaging and simulation related to the rough target .