Wavelet polarimetric SAR signature analysis of sea oil spills and look-alike features
- Migliaccio, Maurizio
Publication date
January 2007
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE)Abstract
Marine dark features in SAR imagery related to oil spills, biogenic look-alikes and low wind areas are analyzed by means of the wavelet polarimetric signature (WASP) tool. The WASP encapsulates in a graph the dependency of the wavelet variance on dyadic scale and polarization state. Experiments on SIR-C/X-SAR C-band data showed the effectiveness of this analysis in characterizing textural features of the areas of study
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