Li Xiaolu, Liang Yu
Appl Opt. 2015 May 20;54(15):4750-9. doi: 10.1364/AO.54.004750.
Analysis of light detection and ranging (LiDAR) intensity data to extract surface features is of great interest in remote sensing research. One potential application of LiDAR intensity data is target classification. A new bidirectional reflectance distribution function (BRDF) model is derived for target characterization of rough and smooth surfaces. Based on the geometry of our coaxial full-waveform LiDAR system, the integration method is improved through coordinate transformation to establish the relationship between the BRDF model and intensity data of LiDAR. A series of experiments using typical urban building materials are implemented to validate the proposed BRDF model and integration method. The fitting results show that three parameters extracted from the proposed BRDF model can distinguish the urban building materials from perspectives of roughness, specular reflectance, and diffuse reflectance. A comprehensive analysis of these parameters will help characterize surface features in a physically rigorous manner.
在遥感研究中，分析光探测与测距（LiDAR）强度数据以提取表面特征备受关注。LiDAR强度数据的一个潜在应用是目标分类。针对粗糙和平滑表面的目标特征，推导了一种新的双向反射分布函数（BRDF）模型。基于我们同轴全波形LiDAR系统的几何结构，通过坐标变换改进了积分方法，以建立BRDF模型与LiDAR强度数据之间的关系。开展了一系列使用典型城市建筑材料的实验，以验证所提出的BRDF模型和积分方法。拟合结果表明，从所提出的BRDF模型中提取的三个参数能够从粗糙度、镜面反射率和漫反射率的角度区分城市建筑材料。对这些参数进行综合分析将有助于以物理上严谨的方式表征表面特征。
