Title
SAR Imaging of Fractal Surfaces
Abstract
A complete theoretical model for synthetic aperture radar (SAR) imaging of natural surfaces is introduced in this paper. The topography of the natural scenes is described via models derived from fractal geometry; scattering evaluations are performed via fractal scattering models appropriate to the employed fractal scene description. Scattering contributions are combined according to the SAR image impulse response function. The power spectral density of appropriate cuts of the SAR image are evaluated in closed form in terms of the surface fractal parameters. Our theoretical model is here conceptually assessed, analytically derived, graphically validated, numerically verified, and also tested on simulated SAR images. The introduced model allows defining innovative postprocessing inverse techniques to retrieve fractal parameters directly from SAR images.
Year
DOI
Venue
2012
10.1109/TGRS.2011.2161997
Geoscience and Remote Sensing, IEEE Transactions
Keywords
Field
DocType
electromagnetic wave scattering,fractals,radar imaging,remote sensing by radar,synthetic aperture radar,SAR image impulse response function,fractal geometry,fractal scattering models,fractal surfaces,postprocessing inverse techniques,power spectral density,synthetic aperture radar imaging,Electromagnetic scattering,fractals,radar imaging,synthetic aperture radar (SAR)
Impulse response,Synthetic aperture radar,Remote sensing,Spectral density,Artificial intelligence,Scattering,Computer vision,Radar imaging,Fractal,Optics,Image resolution,Surface roughness,Mathematics
Journal
Volume
Issue
ISSN
50
2
0196-2892
Citations 
PageRank 
References 
18
1.02
13
Authors
3
Name
Order
Citations
PageRank
Gerardo Di Martino111712.23
Daniele Riccio2781118.99
Ivana Zinno36213.78