Document Type
Book Chapter
Disciplines
Electrical and electronic engineering
Abstract
The principal model for an image, generated by the interaction of an incident wave field with an inhomogeneous medium, is based on the ‘weak scattering approximation’. This approximation forms the basis for image processing, analysis and image understanding associated with applications over a broad range of frequencies. The physical limitations of such a model are typically overcome by introducing an additional stochastic field term that takes into account those effects that do not conform to the weak scattering approximation, coupled with background ‘system noise’. In this chapter, a solution to the scattering problem is presented, which is based on an exact scattering solution. An application of this solution is then considered which focuses on developing a model for a Synthetic Aperture Radar (SAR) image of the earth’s surface. By assuming that the surface is a fractal (a Mandelbrot surface), it is shown how an overhead optical image of the surface may be used to simulate a SAR image. The purpose of this is to generate training data for developing computer vision solutions using machine learning for autonomous navigation using SAR and for target detection in cases where only optical image data are available.
DOI
http://dx.doi.org/10.5772/intechopen.1002781
Recommended Citation
Blackledge, Jonathan, "Simulation and Analysis of Synthetic Aperture Radar Images" (2023). Books/Book chapters. 22.
https://arrow.tudublin.ie/engschelebk/22
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Publication Details
FROM THE EDITED VOLUME
Digital Image Processing - Latest Advances and Applications [Working Title] - Dr. Francisco Javier Cuevas
https://www.intechopen.com/online-first/1166489
http://dx.doi.org/10.5772/intechopen.1002781