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EnglishIn this paper an effective procedure for scalloping removal and homogeneity analysis of sea X-Band COSMO-SkyMed (CSK) SAR images is presented and successfully validated over a meaningful set of ScanSAR data. A new descalloping Wavelet Transform (WT)-based technique has been employed to remove the horizontal bars typical of ScanSAR data. Moreover, a technique has been implemented to definitively detect non-homogeneous areas, which hardly affect SAR image interpretation. The procedure, applied to ScanSAR data, is general and fast, i.e. operationally attractive.
| Titolo: | An Automatic Procedure for Scalloping Suppression and Homogeneity Analysis of Sea X-Band CSK SAR Images |
| Autori: | |
| Data di pubblicazione: | 2012 |
| Rivista: | |
| Abstract: | In this paper an effective procedure for scalloping removal and homogeneity analysis of sea X-Band COSMO-SkyMed (CSK) SAR images is presented and successfully validated over a meaningful set of ScanSAR data. A new descalloping Wavelet Transform (WT)-based technique has been employed to remove the horizontal bars typical of ScanSAR data. Moreover, a technique has been implemented to definitively detect non-homogeneous areas, which hardly affect SAR image interpretation. The procedure, applied to ScanSAR data, is general and fast, i.e. operationally attractive. |
| Handle: | http://hdl.handle.net/11367/29130 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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