Alongside spatial information, an intensity scalar is also measured by LiDAR (Light Detection And Ranging) sensor systems. It corresponds to the amplitude of the backscattered laser beam after reflection on the scanned surface. This information isn’t directly usable due to dependencies of geometrical parameters occurring during the scanning process and additional processing modifications. The research community, in a growing trend, invests efforts to convert this signal into a value which could bring qualitative and quantitative new applications. We propose in this paper, a review of the theortical background of LiDAR radiometric calibration, from physical background to state-of-art methodology. A comparison of two approaches to eliminate geometrical (range and incidence angle) and instrumental dependencies of intensity measurement is presented. Their application on several homogeneous areas of a real-world case study shows a significant reduction of intensity variation between surfaces with identical material composition. Finally, a linearization process permits to obtain an equivalent Lambertian reflectance value which, by its disciminant potential, could be specifically suitable for some algorithms like segmentation or registration.

除了空间信息，还可以通过LiDAR（光检测和测距）传感器系统测量强度标量。它对应于在扫描表面上反射后的反向散射激光束的振幅。由于在扫描过程中发生几何参数的依赖性以及其他处理修改，因此无法直接使用此信息。研究社区正以不断增长的趋势进行投资，以将这种信号转换为可以带来定性和定量新应用的价值。我们提议在本文中对LiDAR辐射定标的理论背景进行回顾，从物理背景到最新方法论。介绍了两种消除强度测量的几何关系（范围和入射角）和仪器相关性的方法的比较。在实际案例研究的几个同质区域中的应用表明，具有相同材料成分的表面之间的强度变化显着降低。最后，线性化过程允许获得等效的朗伯反射率值，该值通过其判别力可能特别适用于某些算法，例如分段或配准。