DocumentCode :
3070282
Title :
Time series of SAR image fractal maps
Author :
Zinno, Ivana ; De Luca, Cristina ; Di Martino, Gerardo ; Iodice, Antonio ; Manzo, Mario ; Pepe, A. ; Pepe, S. ; Riccio, Daniele ; Ruello, Giuseppe ; Sansosti, E. ; Tizzani, P.
Author_Institution :
Ist. per il Rilevamento Elettromagn. dell´Ambiente (IREA), Naples, Italy
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
3954
Lastpage :
3957
Abstract :
In this paper the analysis of time series of fractal dimension maps generated from multi-pass SAR images is dealt with. The objective is twofold: on the one hand such an analysis is addressed to assess the performance of the algorithm for the fractal dimension estimation from a single SAR image, i.e., to verify the fractal estimation efficiency on natural scenes within the multiple sensor passes. On the other hand, by exploiting the statistics evaluated starting from the fractal time series, a final fractal dimension map, including only the areas in which the fractal estimation is efficient and strongly denoised from the speckle effect, is obtained. The analysis has been performed on a Cosmo-SkyMed data-set of 42 stripmap images spanning the time period from October 2009 to December 2012, acquired over the Somma-Vesuvius volcanic complex (South Italy), which is in a quiescent stage since the last eruption occurred in 1944.
Keywords :
geophysical image processing; geophysical techniques; image registration; radar imaging; remote sensing; speckle; synthetic aperture radar; AD 1944; AD 2009 10 to 2012 12; Cosmo-SkyMed data-set; SAR image fractal maps; Somma-Vesuvius volcanic complex; South Italy; algorithm performance; co-registered fractal maps; fractal dimension estimation; fractal dimension maps; fractal estimation efficiency; fractal time series; multipass SAR images; multiple sensor passes; single SAR image; speckle effect; stripmap images; time series; Estimation; Fractals; Rough surfaces; Standards; Surface roughness; Synthetic aperture radar; Time series analysis; SAR; SAR image time series; fractal dimension;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723698
Filename :
6723698
Link To Document :
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