A spectral analysis algorithm for the estimation of sea SAR image fractal dimension

被引：0
|
作者：
Berizzi, F [1 ]
Garzelli, A [1 ]
Mese, ED [1 ]
Condello, R [1 ]
机构：
[1] Univ Pisa, Dept Informat Engn, I-56126 Pisa, Italy
来源：
IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年
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D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a spectral analysis algorithm for sea SAR image fractal dimension estimation. The power spectral density of the sea SAR image is obtained through the periodogram approach and by decomposing the spectrum into sub-bands according to a dyadic scale. The fractal dimension of the image is obtained by a linear regression of the absolute maxima of each sub-band. This method can be applied globally or locally to have a single value or a map of the image fractal dimension. Examples on simulated and real data are reported.
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页码：3366 / 3368
页数：3
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