Filters effects for different objects surfaces in reflective tomography laser radar

Abstract

In range-resolved reflective tomography laser radar imaging system, different objects surfaces have a major impact on signals reflected, and the corresponding different filters in filtered back-projection algorithm would attenuate varying degree artifacts in the resulting images reconstructed. In this paper, light reflection from a surface is described by the Stanford-Robertson bidirectional reflectance distribution function (SR BRDF) model developed by the Air Force.Different reflective parameters in SR BRDF were assumed to simulate various surfaces with different proportion between diffuse reflection and specular reflection. The projections of objects were simulated with 1 degree view increment covering the entire angular domain. We also add the experimental imaging results to validate the effectiveness of this SR BRDF model in reflection tomography. Several filters with different parameters were applied and the quality of images reconstruction was compared, especially beam hardening artifacts and the crossed streak artifacts.