Topographic correction method of remote sensing image considering Bi-directional reflectance

Traditional topographic correctional methods do not take fully account of the bumpiness and texture of the surface. In this paper, a topographic correction approach is proposed based on the surface roughness model. The model presents non-Lambert's characteristics of the terrain surface better than others, because it assumed the surface is composed of V-cavities. The V-cavities facets were partially illuminated or visible as the adjacent facet casts a shadow on it or occludes it. Additionally, the geometric attenuation factor (GAF) is used for improving accuracy, which equals the ratio of the facet area that is both visible and illuminated to the total facet area. Meanwhile, Bi-directional topographic correction is deliberated based on the hypothesis of V-cavities. The advantage of the proposed model is tested through a topographic correction case on remote sensing image.