Amplitude vs intensity Bayesian despeckling in the wavelet domain for SAR images

Authors:
Tiziano Bianchi;Fabrizio Argenti;Alessandro Lapini;Luciano Alparone
Affiliations:
Dept. of Electronics & Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy;Dept. of Information Engineering, University of Florence, Via Santa Marta 3, 50139 Florence, Italy;Dept. of Information Engineering, University of Florence, Via Santa Marta 3, 50139 Florence, Italy;Dept. of Information Engineering, University of Florence, Via Santa Marta 3, 50139 Florence, Italy
Venue:
Digital Signal Processing
Year:
2013

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Abstract

In this paper, the problem of despeckling SAR images when the input data is either an intensity or an amplitude signal is revisited. State-of-the-art despeckling methods based on Bayesian estimators in the wavelet domain, recently proposed in the literature, are taken into consideration. First, how these methods proposed for one format (e.g., intensity) can be adapted to the other format (e.g., amplitude) is investigated. Second, the performance of such algorithms in both cases is analyzed. Experimental results carried out on simulated speckled images and on true SAR data are presented and discussed in order to assess the best strategy. From these results, it can be observed that filtering in the amplitude domain yields better performances in terms of objective quality indexes, such as preservation of structural details, as well as in terms of visual inspection of the filtered SAR data.