15 October 2015 Modeling algorithm for SAR image based on fluctuations of echo signal of the Earth's surface
Author Affiliations +
Abstract
The paper discusses the major modes of mapping the underlying surface using algorithms synthetic aperture radar antenna system onboard. The causes of the appearance of systematic errors in the mathematical modeling of the synthetic aperture antenna device. A method for reducing these methodological errors, is to increase the number of active reflectors radar signals. It is shown that in this case must take into account correlations between the echoes of individual reflectors. The mathematical model takes into account the spatial and temporal correlation characteristics of the observed signals. The mathematical model is implemented as a simulation algorithm of unsteady, non-Gaussian processes with the specified correlation-spectral characteristics of a given density and distribution of samples of these processes, simulating fluctuations in the amplitude of the observed echo in each bin. The possibility of a significant acceleration of the process simulation using the simplified forms correlations in the form of exponential curves.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander P. Shepeta, Alexander P. Shepeta, Vadim A. Nenashev, Vadim A. Nenashev, } "Modeling algorithm for SAR image based on fluctuations of echo signal of the Earth's surface", Proc. SPIE 9642, SAR Image Analysis, Modeling, and Techniques XV, 96420X (15 October 2015); doi: 10.1117/12.2194569; https://doi.org/10.1117/12.2194569
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

The concept of the radar environment simulator software
Proceedings of SPIE (April 18 2018)
Simulation and processing of one-bit coded SRTM raw data
Proceedings of SPIE (November 19 1998)
Wavelets and wave propagation modeling
Proceedings of SPIE (March 14 1994)
Hybrid Digital-Optical Processors: A Performance Assessment
Proceedings of SPIE (December 05 1989)

Back to Top