Presentation 1997/2/28
AN ESTIMATION OF FRACTAL DIMENSION OF MULTI-PARAMETER SAR IMAGES USING WAVELETS
Seisuke FUKUDA, Haruto HIROSAWA,
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Abstract(in English) There exist natural scenes which can be considered to be statistically self-similar. When such a three-dimensional surface regarded as 'statistically fractal' is imaged by a synthetic aperture radar (SAR), fractal dimension of the image reflects geometrical complexity of the surface. This paper describes a new technique for estimating fractal dimension of an image by wavelet-based multiresolution analysis combined with the fractal Brownian motion (fBm) model. An application of the technique to multi-frequency, multi-polarization SAR images has shown that the fractal dimension of the SAR images substantially depends upon the frequency and the polarization, aand is insensitive to speckle
Keyword(in Japanese) (See Japanese page)
Keyword(in English) SAR / wavelet / fractal dimension / fractional Brownian motion / speckle
Paper # SANE96-95,SAT96-143
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Conference Date 1997/2/28(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) AN ESTIMATION OF FRACTAL DIMENSION OF MULTI-PARAMETER SAR IMAGES USING WAVELETS
Sub Title (in English)
Keyword(1) SAR
Keyword(2) wavelet
Keyword(3) fractal dimension
Keyword(4) fractional Brownian motion
Keyword(5) speckle
1st Author's Name Seisuke FUKUDA
1st Author's Affiliation Institute of Space and Astronautical Science()
2nd Author's Name Haruto HIROSAWA
2nd Author's Affiliation Institute of Space and Astronautical Science
Date 1997/2/28
Paper # SANE96-95,SAT96-143
Volume (vol) vol.96
Number (no) 548
Page pp.pp.-
#Pages 7
Date of Issue