Title :
Fractal dimension images from SAR images
Author :
Riccio, Daniele ; Di Martino, Gerardo ; Iodice, Antonio ; Ruello, Giuseppe ; Zinno, Ivana
Author_Institution :
DIETI, Univ. di Napoli Federico II, Naples, Italy
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.
Keywords :
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; Estimation; Fractals; Optical surface waves; Rough surfaces; Surface roughness; Surface treatment; Synthetic aperture radar; SAR; fractals; spectral estimation;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025020