An Echo Intensity Calculation Method based on DNN for SAR Ray-tracing Simulation
Conference: EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar
03/29/2021 - 04/01/2021 at online
Proceedings: EUSAR 2021
Pages: 4Language: englishTyp: PDF
Authors:
Niu, Shengren; Ding, Chibiao; Lei, Bin (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China & School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China & Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing, China)
Qiu, Xiaolan (Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China & Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing, China)
Lin, Xiangyang (Beijing Institute of Remote Sensing Information, Beijing, China)
Abstract:
The calculation of echo intensity involved in the SAR image simulation is usually based on the electromagnetic formula or approximate formula derived under certain assumptions. However, the parameters used in these formulas are often difficult to obtain, and there is an error between these formulas and the actual situation. In this paper, we propose a method to embed deep neural network (DNN) into the simulation process based on ray tracing, to directly use DNN model to fit the calculation formula of echo intensity from real SAR images. Simulation results show that this method can obtain SAR images with high similarity.