Working Paper Article Version 1 This version is not peer-reviewed

An Echo Intensity Calculation Method Based on DNN for SAR Ray-Tracing Simulation

Version 1 : Received: 9 October 2020 / Approved: 9 October 2020 / Online: 9 October 2020 (16:24:29 CEST)
(This article belongs to the Research Topic EUSAR 2020—Preprints)

How to cite: Niu, S.; Qiu, X. An Echo Intensity Calculation Method Based on DNN for SAR Ray-Tracing Simulation. Preprints 2020, 2020100211 Niu, S.; Qiu, X. An Echo Intensity Calculation Method Based on DNN for SAR Ray-Tracing Simulation. Preprints 2020, 2020100211

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 the formulas have errors with the actual situation. In this paper, a method of embedding deep neural network (DNN) into the simulation process based on ray tracing is proposed, so that the DNN model can be directly used 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.

Subject Areas

deep neural network; differentiable rendering; electromagnetic scattering modeling; ray tracing; SAR image simulation

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