SAR Image Simulation Algorithm for Tree Model Based on SBR

In this work, we study the SAR image simulation algorithm for the tree model. Traditional imaging methods take a long time to image large scene targets, which bring about the huge complexity. We apply the ray tube superposition concept of SBR technology to the reconstruction of the objective function, which avoids the huge computational burden of sampling the frequency-domain scattered field. SAR images of different numbers of trees at different angles were generated. The average computational time of imaging a single tree is 8.3 s, and the average computational time of multiple trees is 25.6s.