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.
An Automatic Procedure for Scalloping Suppression and Homogeneity Analysis of Sea X-Band CSK SAR Images
SORRENTINO, Antonio;MIGLIACCIO, Maurizio
2012
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.File in questo prodotto:
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