Paper Info
Title
Fractal dimension images from SAR images
Abstract
In this paper we present the description of the image-processing issues underlying the estimation of the fractal dimension of natural surfaces from their corresponding synthetic aperture radar images. The choice of the spectral-estimation method is a key issue, due to the special nature of the problem at hand. In particular, fractal spectra present well-known leakage problems; moreover, high-variance issues can arise, due to the limited sample size dictated by the local nature of the problem. Meaningful examples of fractal dimension images are provided and discussed.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7025020
Image Processing
Keywords
Field
DocType
fractals,radar computing,radar imaging,synthetic aperture radar,SAR images,fractal dimension estimation,fractal dimension images,fractal spectra,high-variance issues,image-processing issues,leakage problems,natural surfaces,spectral-estimation method,synthetic aperture radar images,SAR,fractals,spectral estimation
Computer vision,Spectral density estimation,Fractal dimension,Computer science,Synthetic aperture radar,Fractal,Inverse synthetic aperture radar,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
6
4
Name
Order
Citations
PageRank
Daniele Riccio1781118.99
Gerardo Di Martino211712.23
A. Iodice315817.58
Ruello, G.420.72