Validation of an automatic system to detect oil spills in X- and L-band SAR images

P. Trivero; W. Biamino; M. Cavagnero; L. Di Matteo; D. Loreggia

doi:10.1109/IGARSS.2014.6946485

Validation of an automatic system to detect oil spills in X- and L-band SAR images

P. Trivero
, W. Biamino
, M. Cavagnero
, L. Di Matteo
, D. Loreggia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	565-568
Number of pages	4
ISBN (Electronic)	9781479957750
DOIs	https://doi.org/10.1109/IGARSS.2014.6946485
Publication status	Published - 4 Nov 2014
Externally published	Yes
Event	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada Duration: 13 Jul 2014 → 18 Jul 2014

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/Territory	Canada
City	Quebec City
Period	13/07/14 → 18/07/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

ALOS
Cosmo-SkyMed
Oil Spill
Remote Sensing
Synthetic Aperture Radar

Access to Document

10.1109/IGARSS.2014.6946485

Cite this

Trivero, P., Biamino, W., Cavagnero, M., Di Matteo, L., & Loreggia, D. (2014). Validation of an automatic system to detect oil spills in X- and L-band SAR images. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 565-568). Article 6946485 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2014.6946485

@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",

}

Trivero, P, Biamino, W, Cavagnero, M, Di Matteo, L & Loreggia, D 2014, Validation of an automatic system to detect oil spills in X- and L-band SAR images. in International Geoscience and Remote Sensing Symposium (IGARSS)., 6946485, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 565-568, Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, Quebec City, Canada, 13/07/14. https://doi.org/10.1109/IGARSS.2014.6946485

Validation of an automatic system to detect oil spills in X- and L-band SAR images. / Trivero, P.; Biamino, W.; Cavagnero, M. et al.
International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc., 2014. p. 565-568 6946485 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Validation of an automatic system to detect oil spills in X- and L-band SAR images

AU - Trivero, P.

AU - Biamino, W.

AU - Cavagnero, M.

AU - Di Matteo, L.

AU - Loreggia, D.

PY - 2014/11/4

Y1 - 2014/11/4

N2 - 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.

AB - 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.

KW - ALOS

KW - Cosmo-SkyMed

KW - Oil Spill

KW - Remote Sensing

KW - Synthetic Aperture Radar

UR - https://www.scopus.com/pages/publications/84911442787

U2 - 10.1109/IGARSS.2014.6946485

DO - 10.1109/IGARSS.2014.6946485

M3 - Conference contribution

AN - SCOPUS:84911442787

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 565

EP - 568

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014

Y2 - 13 July 2014 through 18 July 2014

ER -

Trivero P, Biamino W, Cavagnero M, Di Matteo L, Loreggia D. Validation of an automatic system to detect oil spills in X- and L-band SAR images. In International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers Inc. 2014. p. 565-568. 6946485. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2014.6946485

Validation of an automatic system to detect oil spills in X- and L-band SAR images

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this