Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.dsp.2013.04.011 | Digital Signal Processing |
Keywords | Field | DocType |
amplitude vs intensity bayesian,input data,state-of-the-art despeckling method,filtered sar data,best strategy,true sar data,despeckling sar image,wavelet domain,amplitude signal,bayesian estimator,amplitude domain yield,bayesian estimation,wavelet transform | Visual inspection,Pattern recognition,Filter (signal processing),Artificial intelligence,Bayes estimator,Amplitude,Mathematics,Estimator,Wavelet,Wavelet transform,Bayesian probability | Journal |
Volume | Issue | ISSN |
23 | 5 | 1051-2004 |
Citations | PageRank | References |
1 | 0.35 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiziano Bianchi | 1 | 1003 | 62.55 |
| Fabrizio Argenti | 2 | 174 | 26.24 |
| Alessandro Lapini | 3 | 39 | 6.39 |
| Luciano Alparone | 4 | 901 | 80.27 |