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Proceedings Paper

Multifractal analysis of synthetic aperture radar images using wavelets
Author(s): Monty Lasserre; Dan Roach; Norman R. Eldridge
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Paper Abstract

This paper interprets 1D intensities in images of Synthetic Aperture Radar (SAR) as interwoven sets of mathematically defined singularities, and the spectrum of singularity strengths has been calculated using wavelets. Superposition of spectra from a transect of SAR data from the European Earth Resources Satellite (ERS-1) with the spectra from a SAR simulation based only on local terrain elevation variation shows that there exists a range of singularity strengths in ERS-1 data which are closely described by a topographic model. Modeling the SAR spectra using singularity spectra from Cantor sets and multiplicative cascades only partially helps in defining the SAR signal as a multifractal. The paper proposes that identifying and isolating the singularities in a SAR image for the purposes of classifying images can be assisted by using results from a singularity spectrum. The object of this classification is the resolution of images into regions with stable pixels representing purely a response to topographic relief and distinguishable from responses from land use and terrestrial cover types.

Paper Details

Date Published: 1 September 1995
PDF: 11 pages
Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); doi: 10.1117/12.217605
Show Author Affiliations
Monty Lasserre, Canada Ctr. for Remote Sensing (Canada)
Dan Roach, Canada Ctr. for Remote Sensing (Canada)
Norman R. Eldridge, MacDonald, Dettwiler & Associates (Canada)


Published in SPIE Proceedings Vol. 2569:
Wavelet Applications in Signal and Image Processing III
Andrew F. Laine; Michael A. Unser, Editor(s)

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