Scattering, Natural Surfaces, and Fractals


  • Giorgio Franceschetti, JPL - Jet Propulsion Laboratory , Pasadena, CA, U.S.A.
  • Daniele Riccio, Università "Federico II" di Napoli, Italy

This book provides a comprehensive overview of electromagnetic scattering from natural surfaces, ranging from the classical to the more recent (fractal) approach. As remote sensing applications become increasingly important, this text provides readers with a solid background in interpretation, classification and thematization of microwave images. The “scattering problem” is discussed in detail with emphasis on its application to electromagnetic wave propagation, remote sensing, radar detection, and electromagnetic diagnostics. Natural surface and fractals complete this treatise focusing on how the fractal model represents our natural environment and other planets in our solar system, most recently as used to research the planet Venus and Titan, one of the moons of Saturn. An example of how scattering, fractals, and natural surfaces are of great importance is the following: Natural oil slicks in the ocean have been found to be fractal while man-made ones (generated by illegal washing of oil carrying ships) are not. Processing of an ocean image from space may detect the latter by means of a fractal analysis.
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Geoscience and remote sensing technical and scientific community ie. engineers, physicists, geologists, applied mathematicians, earth scientists.This book should also be useful as a text for graduate courses on electromagnetic scattering and remote sensing.


Book information

  • Published: December 2006
  • ISBN: 978-0-12-265655-2

Table of Contents

Chapter 1: IntroductionChapter 2: Classical Surface ModelsChapter 3: Fractal Surface Models.Chapter 4: Analytical formulations of electromagnetic scatteringChapter 5: Scattering From Weirstrass-Mandelbrot SurfacesChapter 6: Scattering from Fractional Brownian Surfaces Chapter 7: Scattering from Weierstrass-Mandelbrot profilesChapter 8: Scattering from Fractional Brownian Surfaces