Radar Backscatter Model and Its Application in Terrain-effect Reduction of Radar Imagery
雷达后向散射模型及其在雷达图像地形影响纠正中的应用

A common problem encountered in biomass estimation from radar image is the terrain effects appeared in radar images. Topography changes the local radar incidence angle, determines the surface area to be illuminated by a image pixel. In addition,the underlying terrain influences the spatial structure of vegetation layer.It is a complex task to correct or reduce this unwanted fluctuation in radar backscattering due to topography. In general, both high-quality digital elevation model (DEM)and the dependence of backscattering of various land covers on topography are required.The radar backscatter model introduced in this paper simulates radar backscattering from vegetations on various slopes. The backscattering-slope relationships derived from simulation, and a DEM forms the basic for a model-based radar terrain effect correction method. If the multi-band or multi-polarization radar data exist, model simulation can help to infer the topographic information from one channel of radar image, and then use it to correct other channels.