On the exploitation of polarimetric ratio for oil spill detection

Mariantonietta Zonno; Paco López-Dekker; Richard E. Danielson

On the exploitation of polarimetric ratio for oil spill detection

Mariantonietta Zonno, Paco López-Dekker, Richard E. Danielson

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Oil spills in sea water represent one of the most conspicuous forms of damage to the marine environment. They can be detected in SAR images by the exploitation of the normalized cross section (NRCS) and the co-polarization ratio (PR) and by the use of a combined detector. In this paper we describe the simulation of sea surface SAR data by means of the statistical compound model and we use these data for testing the proposed NRCS and PR-based oil spill detection approach. It shows good performance compared to detectors based on the single PR or NRCS information.

Original language	English
Title of host publication	Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar
Publisher	IEEE
ISBN (Electronic)	9783800742288
Publication status	Published - 2016
Externally published	Yes
Event	11th European Conference on Synthetic Aperture Radar - Hamburg, Germany Duration: 6 Jun 2016 → 9 Jun 2016 Conference number: 11

Conference

Conference	11th European Conference on Synthetic Aperture Radar
Abbreviated title	EUSAR 2016
Country/Territory	Germany
City	Hamburg
Period	6/06/16 → 9/06/16

UN SDGs

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

Cite this

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title = "On the exploitation of polarimetric ratio for oil spill detection",

abstract = "Oil spills in sea water represent one of the most conspicuous forms of damage to the marine environment. They can be detected in SAR images by the exploitation of the normalized cross section (NRCS) and the co-polarization ratio (PR) and by the use of a combined detector. In this paper we describe the simulation of sea surface SAR data by means of the statistical compound model and we use these data for testing the proposed NRCS and PR-based oil spill detection approach. It shows good performance compared to detectors based on the single PR or NRCS information.",

author = "Mariantonietta Zonno and Paco L{\'o}pez-Dekker and Danielson, {Richard E.}",

year = "2016",

language = "English",

booktitle = "Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar",

publisher = "IEEE",

address = "United States",

note = "11th European Conference on Synthetic Aperture Radar, EUSAR 2016 ; Conference date: 06-06-2016 Through 09-06-2016",

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T1 - On the exploitation of polarimetric ratio for oil spill detection

AU - Zonno, Mariantonietta

AU - López-Dekker, Paco

AU - Danielson, Richard E.

N1 - Conference code: 11

PY - 2016

Y1 - 2016

N2 - Oil spills in sea water represent one of the most conspicuous forms of damage to the marine environment. They can be detected in SAR images by the exploitation of the normalized cross section (NRCS) and the co-polarization ratio (PR) and by the use of a combined detector. In this paper we describe the simulation of sea surface SAR data by means of the statistical compound model and we use these data for testing the proposed NRCS and PR-based oil spill detection approach. It shows good performance compared to detectors based on the single PR or NRCS information.

AB - Oil spills in sea water represent one of the most conspicuous forms of damage to the marine environment. They can be detected in SAR images by the exploitation of the normalized cross section (NRCS) and the co-polarization ratio (PR) and by the use of a combined detector. In this paper we describe the simulation of sea surface SAR data by means of the statistical compound model and we use these data for testing the proposed NRCS and PR-based oil spill detection approach. It shows good performance compared to detectors based on the single PR or NRCS information.

UR - http://www.scopus.com/inward/record.url?scp=85001124016&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85001124016

BT - Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar

PB - IEEE

T2 - 11th European Conference on Synthetic Aperture Radar

Y2 - 6 June 2016 through 9 June 2016

ER -

On the exploitation of polarimetric ratio for oil spill detection

Abstract

Conference

UN SDGs

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