DocumentCode
1763026
Title
Angle Independence Properties of Fractal Dimension Maps Estimated From SAR Data
Author
Di Martino, Gerardo ; Iodice, Antonio ; Riccio, Daniele ; Ruello, Giuseppe ; Zinno, Ivana
Author_Institution
Dipt. di Ing. Elettr. e delle Tecnol. dell´Inf., Univ. di Napoli Federico II, Naples, Italy
Volume
6
Issue
3
fYear
2013
fDate
41426
Firstpage
1242
Lastpage
1253
Abstract
The extremely remarkable properties of angle independence exhibited by an innovative SAR product, the fractal dimension map estimated from a single SAR image, are discussed. The theoretical analysis is supported by a noticeable data set of actual SAR images acquired, with look angles varying from 20° to 45°, in the stripmap operational mode by the COSMO-SkyMed constellation. The behavior of the fractal dimension maps at different look angles is discussed for both natural and urban scenarios and emphasis is also posed on areas within the same image that, according to the scene macroscopic topography, are characterized by different incidence angles. The whole analysis is aimed at highlighting, on the one hand, the specific independencies of natural surface fractal dimension maps from the look angle and from the local incidence angle, which can be very useful in information extraction and SAR post-processing techniques and, on the other hand, the different fractal dimension maps behavior whereas urban areas are analyzed.
Keywords
data acquisition; estimation theory; feature extraction; fractals; radar imaging; synthetic aperture radar; COSMO-SkyMed constellation; SAR post-processing technique; angle independence property; information extraction; natural surface fractal dimension maps estimation; scene macroscopic topography; single SAR image data; stripmap operational mode; Estimation; Fractals; Rough surfaces; Standards; Surface roughness; Surface topography; Synthetic aperture radar; Electromagnetic scattering; fractals; rough surfaces; synthetic aperture radar;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2013.2248134
Filename
6482243
Link To Document