DocumentCode :
142620
Title :
Validation of an automatic system to detect oil spills in X- and L-band SAR images
Author :
Trivero, P. ; Biamino, W. ; Cavagnero, M. ; Di Matteo, L. ; Loreggia, D.
Author_Institution :
Dipt. di Sci. e Innovazione Tecnol., Univ. del Piemonte Orientale “A. Avogadro”, Alessandria, Italy
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
565
Lastpage :
568
Abstract :
Satellite-borne SAR is used for sea surface observation and extraction of meteo-marine features as well as detection of oil slicks. In this paper we want to describe the activity based on the detection algorithm we developed in previous activities, able to identify oil spills in an automatic routinely way, as well as to evaluate detection reliability with a percentage value. Starting from that previous algorithm we developed for ERS and Envisat data, we extended its capabilities by identifying suitable radiometric parameters for L- and X-band data products. We tested our procedure on L- and X-band SAR images with the aim to assess their effectiveness in discriminating verified oil slicks found on sea surface.
Keywords :
geophysical image processing; image recognition; marine pollution; oceanographic techniques; oil pollution; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; water pollution measurement; ERS data; Envisat data; L-band SAR images; L-band data products; X-band SAR images; X-band data products; automatic system validation; detection algorithm; detection reliability; meteomarine features; oil slick detection; oil spill detection; oil spill identification; radiometric parameters; satellite borne SAR; sea surface extraction; sea surface observation; Films; Remote sensing; Satellites; Sea measurements; Sea surface; Surface waves; Synthetic aperture radar; ALOS; Cosmo-SkyMed; Oil Spill; Remote Sensing; Synthetic Aperture Radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6946485
Filename :
6946485
Link To Document :
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