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Multiresolution texture analysis of SAR images (Contributo in atti di convegno)

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Multiresolution texture analysis of SAR images (Contributo in atti di convegno) (literal)

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Bruno Aiazzi; Luciano Alparone; Stefano Baronti (1998)
Multiresolution texture analysis of SAR images
in SPIE Remote Sensing 1998: SAR Image Analysis, Modeling, and Techniques, Barcellona, Spagna, 21-24 Settembre 1998
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Proceedings EUROPTO Series SPIE Remote Sensing 1998: SAR Image Analysis, Modeling, and Techniques (literal)

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\"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy Department of Electronic Engineering, University of Florence, Via St. Marta, 3, I-50139 Firenze, Italy \"Nello Carrara\" Research Institute on Electromagnetic Waves IROE-CNR, Via Panciatichi, 64, I-50127 Firenze, Italy (literal)

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Abstract

It is widely recognized that SAR images exhibit a fractal behavior represented by the concept of fractal dimension, which is related to an intuitive concept of surface \"roughness\". The most suited approach to compute the fractal dimension comes from the power spectra of a fractal Brownian motion: the ratio between energies at different scales is related to the persistence parameter H and, thus, to the fractal dimension D equals 3 - H. The signal-dependent nature of speckle, however, prevents from the exploitation of this property to estimate the fractal dimension of SAR images. In this paper, we propose and assess a novel method to obtain such a fractal signature, based on the multi-scale image decomposition provided by the normalized Laplacian pyramid (NLP), which is a bandpass representation obtained by dividing the layers of the LP by expanded versions of its baseband, designed to exhibit noise that is independent of the signal. Thus, by analyzing SAR image texture on multiple scale through the NLP, it is possible to highlight and assess fractal behaviors of the radar cross-section. Experiments on both synthetic and true SAR images corroborate the theoretical assumptions underlying the proposed approach. (literal)

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