Wavelet polarimetric SAR signature analysis of sea oil spills and look-alike features

Author

Gambardella, Attilio ; Migliaccio, Maurizio ; De Grandi, Gianfranco

Author_Institution

Univ. degli Studi di Napoli Parthenope, Naples

fYear

2007

fDate

23-28 July 2007

Firstpage

983

Lastpage

986

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.

Keywords

geophysical signal processing; oceanographic techniques; radar polarimetry; radar signal processing; remote sensing by radar; synthetic aperture radar; water pollution; wavelet transforms; wind; SAR imagery; SIR-C C-band data; WASP wavelet polarimetric signature tool; X-SAR C-band data; biogenic oil spill look alike; dyadic scale; marine dark features; oceanographic low wind areas; polarization state; sea oil spill; wavelet polarimetric SAR signature analysis; wavelet variance; Backscatter; Image analysis; Petroleum; Polarization; Radar detection; Remote monitoring; Sea surface; Sensor phenomena and characterization; Synthetic aperture radar; Wavelet analysis; SAR polarimetry; oil spill; texture; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International

Conference_Location

Barcelona

Print_ISBN

978-1-4244-1211-2

Electronic_ISBN

978-1-4244-1212-9

Type

conf

DOI

10.1109/IGARSS.2007.4422964

Filename

4422964