Exploitation of COSMO-SkyMed system for detection of ships responsible for oil spills

D. Stagliano; A. Lupidi; F. Berizzi; M. Martorella

doi:10.1109/IGARSS.2012.6351408

Exploitation of COSMO-SkyMed system for detection of ships responsible for oil spills

D. Stagliano^*, A. Lupidi, F. Berizzi, M. Martorella

^*Corresponding author for this work

Engineering

Research output: Contribution to conference (unpublished) › Paper › peer-review

Abstract

In this paper, the authors propose an innovative technique which is applied to the sea Synthetic Aperture Radar (SAR) imagery in order to aid the detection of the oil tankers responsible for oil spills. This technique aims to identify these oil spills and to correlate them to the detected ships. Real data acquired from COSMO-SkyMed (CSK) system have been processed to verify the effectiveness of this proposed new algorithm.

Original language	English
Pages	915-918
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6351408
Publication status	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12

Keywords

CFAR
COSMO-SkyMed
oil spill detection
SAR imagery
ship detection
Wavelet correlator

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

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10.1109/IGARSS.2012.6351408

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title = "Exploitation of COSMO-SkyMed system for detection of ships responsible for oil spills",

abstract = "In this paper, the authors propose an innovative technique which is applied to the sea Synthetic Aperture Radar (SAR) imagery in order to aid the detection of the oil tankers responsible for oil spills. This technique aims to identify these oil spills and to correlate them to the detected ships. Real data acquired from COSMO-SkyMed (CSK) system have been processed to verify the effectiveness of this proposed new algorithm.",

keywords = "CFAR, COSMO-SkyMed, oil spill detection, SAR imagery, ship detection, Wavelet correlator",

author = "D. Stagliano and A. Lupidi and F. Berizzi and M. Martorella",

year = "2012",

doi = "10.1109/IGARSS.2012.6351408",

language = "English",

pages = "915--918",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

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T1 - Exploitation of COSMO-SkyMed system for detection of ships responsible for oil spills

AU - Stagliano, D.

AU - Lupidi, A.

AU - Berizzi, F.

AU - Martorella, M.

PY - 2012

Y1 - 2012

N2 - In this paper, the authors propose an innovative technique which is applied to the sea Synthetic Aperture Radar (SAR) imagery in order to aid the detection of the oil tankers responsible for oil spills. This technique aims to identify these oil spills and to correlate them to the detected ships. Real data acquired from COSMO-SkyMed (CSK) system have been processed to verify the effectiveness of this proposed new algorithm.

AB - In this paper, the authors propose an innovative technique which is applied to the sea Synthetic Aperture Radar (SAR) imagery in order to aid the detection of the oil tankers responsible for oil spills. This technique aims to identify these oil spills and to correlate them to the detected ships. Real data acquired from COSMO-SkyMed (CSK) system have been processed to verify the effectiveness of this proposed new algorithm.

KW - CFAR

KW - COSMO-SkyMed

KW - oil spill detection

KW - SAR imagery

KW - ship detection

KW - Wavelet correlator

UR - http://www.scopus.com/inward/record.url?scp=84873175306&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2012.6351408

DO - 10.1109/IGARSS.2012.6351408

M3 - Paper

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T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Exploitation of COSMO-SkyMed system for detection of ships responsible for oil spills

Abstract

Conference

Keywords

ASJC Scopus subject areas

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