@inproceedings{b5cb5ac9328046f99402b1d4d82ec392,
title = "Validation of an automatic system to detect oil spills in X- and L-band SAR images",
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 = "ALOS, Cosmo-SkyMed, Oil Spill, Remote Sensing, Synthetic Aperture Radar",
author = "P. Trivero and W. Biamino and M. Cavagnero and \{Di Matteo\}, L. and D. Loreggia",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 ; Conference date: 13-07-2014 Through 18-07-2014",
year = "2014",
month = nov,
day = "4",
doi = "10.1109/IGARSS.2014.6946485",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "565--568",
booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",
address = "United States",
}