Shadowing Function from Randomly Rough Surfaces: Derivation and applications
The shadowing function is an important element in the simulation and calculation of how electromagnetic waves scatter at randomly rough surfaces. Its derivation and use is an active, interdisciplinary area of research with practical applications in fields such as radar, optics, acoustics, geoscience, computer graphics and remote sensing.

This book addresses the general problem of the derivation of the shadowing function from randomly rough surfaces. The authors present an overview of theory and advances of this topic by detailing recent progress. Firstly, the simpler problems are investigated (monostatic case - 1D surface - one reflection) progressing in difficulty to more complicated problems (bistatic case - 2D surface - multiple reflections). In addition, the authors focus on the introduction of the simplifying assumptions to derive closed-form expressions of the shadowing function and quantify their impact on the accuracy of the resulting models. Applications of the shadowing function in problems encountered in physics are also addressed.

The problem of the derivation of the shadowing function from a rough surface is at the boundary between several scientific communities, each with its terminology. This book makes the link between these different communities and will help the reader to understand the theoretical aspects of this problem while giving practical applications.

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Shadowing Function from Randomly Rough Surfaces: Derivation and applications
The shadowing function is an important element in the simulation and calculation of how electromagnetic waves scatter at randomly rough surfaces. Its derivation and use is an active, interdisciplinary area of research with practical applications in fields such as radar, optics, acoustics, geoscience, computer graphics and remote sensing.

This book addresses the general problem of the derivation of the shadowing function from randomly rough surfaces. The authors present an overview of theory and advances of this topic by detailing recent progress. Firstly, the simpler problems are investigated (monostatic case - 1D surface - one reflection) progressing in difficulty to more complicated problems (bistatic case - 2D surface - multiple reflections). In addition, the authors focus on the introduction of the simplifying assumptions to derive closed-form expressions of the shadowing function and quantify their impact on the accuracy of the resulting models. Applications of the shadowing function in problems encountered in physics are also addressed.

The problem of the derivation of the shadowing function from a rough surface is at the boundary between several scientific communities, each with its terminology. This book makes the link between these different communities and will help the reader to understand the theoretical aspects of this problem while giving practical applications.

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Shadowing Function from Randomly Rough Surfaces: Derivation and applications

Shadowing Function from Randomly Rough Surfaces: Derivation and applications

by Christophe Bourlier, Hongkun Li
Shadowing Function from Randomly Rough Surfaces: Derivation and applications

Shadowing Function from Randomly Rough Surfaces: Derivation and applications

by Christophe Bourlier, Hongkun Li

Hardcover

$150.00 
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Overview

The shadowing function is an important element in the simulation and calculation of how electromagnetic waves scatter at randomly rough surfaces. Its derivation and use is an active, interdisciplinary area of research with practical applications in fields such as radar, optics, acoustics, geoscience, computer graphics and remote sensing.

This book addresses the general problem of the derivation of the shadowing function from randomly rough surfaces. The authors present an overview of theory and advances of this topic by detailing recent progress. Firstly, the simpler problems are investigated (monostatic case - 1D surface - one reflection) progressing in difficulty to more complicated problems (bistatic case - 2D surface - multiple reflections). In addition, the authors focus on the introduction of the simplifying assumptions to derive closed-form expressions of the shadowing function and quantify their impact on the accuracy of the resulting models. Applications of the shadowing function in problems encountered in physics are also addressed.

The problem of the derivation of the shadowing function from a rough surface is at the boundary between several scientific communities, each with its terminology. This book makes the link between these different communities and will help the reader to understand the theoretical aspects of this problem while giving practical applications.


Product Details

ISBN-13: 9781785615351
Publisher: The Institution of Engineering and Technology
Publication date: 06/26/2019
Series: Radar, Sonar and Navigation
Pages: 240
Product dimensions: 6.14(w) x 9.21(h) x (d)

About the Author

Christophe Bourlier is at the IETR Laboratory (Institut d'Electronique et de Télécommunications de Rennes) at polytech Nantes (Universityof Nantes, France). He works as a Researcher at the National Center for Scientific Research (CNRS) on electromagnetic wave scattering from rough surfaces and objects for remote sensing applications and Radar signatures. He is the author of more than 200 journal articles and conference papers.


Hongkun Li is a Post-Doctoral Researcher with the ElectroScience Laboratory, the Ohio State University, USA. His research domain concerns microwave remote sensing and scattering/reflection of microwave/infrared wave from sea-like rough surfaces.

Table of Contents

  • Chapter 1: Shadowing function from one-dimensional surface
  • Chapter 2: Shadowing function from a two-dimensional surface
  • Chapter 3: Shadowing function with multiple reflections
  • Chapter 4: Some applications
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