A location scale based CFAR detection framework for FOPEN SAR images

Marco Liguori; Alessio Izzo; Carmine Clemente; Carmela Galdi; Maurizio Di Bisceglie; John J. Soraghan

doi:10.1109/SSPD.2015.7288497

A location scale based CFAR detection framework for FOPEN SAR images

Marco Liguori, Alessio Izzo, Carmine Clemente, Carmela Galdi, Maurizio Di Bisceglie, John J. Soraghan

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

112 Downloads (Pure)

Abstract

The problem of target detection in a complex clutter environment, with Constant False Alarm Ratio (CFAR), is addressed in this paper. In particular an algorithm for CFAR target detection is applied to the context of FOliage PENetrating (FOPEN) Synthetic Aperture Radar (SAR) imaging. The extreme value distributions family is used to model the data and exploiting the location-scale property of this family of distributions, a multi-model CFAR algorithm is derived. Performance analysis on real data confirms the capability of the developed framework to control the false alarm probability.

Original language	English
Pages	1-5
Number of pages	5
DOIs	https://doi.org/10.1109/SSPD.2015.7288497
Publication status	Published - 10 Jul 2015
Event	5th Conference of the Sensor Signal Processing for Defence - Royal College of Physicians of Edinburgh, Edinburgh, United Kingdom Duration: 9 Jul 2015 → 10 Jul 2015 http://www.sspd.eng.ed.ac.uk/conference-archive/2015

Conference

Conference	5th Conference of the Sensor Signal Processing for Defence
Abbreviated title	SSPD 2015
Country/Territory	United Kingdom
City	Edinburgh
Period	9/07/15 → 10/07/15
Internet address	http://www.sspd.eng.ed.ac.uk/conference-archive/2015

Keywords

radar clutter
radar detection
radar imaging
synthetic aperture radar
vegetation
algorithm design and analysis
Weibull distribution
detectors

Access to Document

10.1109/SSPD.2015.7288497

Liguori-etal-SSPD2015-location-scale-based-CFAR-detection-framework-FOPEN-SAR-imagesAccepted author manuscript, 238 KB

Cite this

@conference{6c193847aec44995ae2565042aada796,

title = "A location scale based CFAR detection framework for FOPEN SAR images",

abstract = "The problem of target detection in a complex clutter environment, with Constant False Alarm Ratio (CFAR), is addressed in this paper. In particular an algorithm for CFAR target detection is applied to the context of FOliage PENetrating (FOPEN) Synthetic Aperture Radar (SAR) imaging. The extreme value distributions family is used to model the data and exploiting the location-scale property of this family of distributions, a multi-model CFAR algorithm is derived. Performance analysis on real data confirms the capability of the developed framework to control the false alarm probability.",

keywords = "radar clutter, radar detection, radar imaging, synthetic aperture radar, vegetation, algorithm design and analysis, Weibull distribution, detectors",

author = "Marco Liguori and Alessio Izzo and Carmine Clemente and Carmela Galdi and {Di Bisceglie}, Maurizio and Soraghan, {John J.}",

year = "2015",

month = jul,

day = "10",

doi = "10.1109/SSPD.2015.7288497",

language = "English",

pages = "1--5",

note = "5th Conference of the Sensor Signal Processing for Defence , SSPD 2015 ; Conference date: 09-07-2015 Through 10-07-2015",

url = "http://www.sspd.eng.ed.ac.uk/conference-archive/2015",

}

TY - CONF

T1 - A location scale based CFAR detection framework for FOPEN SAR images

AU - Liguori, Marco

AU - Izzo, Alessio

AU - Clemente, Carmine

AU - Galdi, Carmela

AU - Di Bisceglie, Maurizio

AU - Soraghan, John J.

PY - 2015/7/10

Y1 - 2015/7/10

N2 - The problem of target detection in a complex clutter environment, with Constant False Alarm Ratio (CFAR), is addressed in this paper. In particular an algorithm for CFAR target detection is applied to the context of FOliage PENetrating (FOPEN) Synthetic Aperture Radar (SAR) imaging. The extreme value distributions family is used to model the data and exploiting the location-scale property of this family of distributions, a multi-model CFAR algorithm is derived. Performance analysis on real data confirms the capability of the developed framework to control the false alarm probability.

AB - The problem of target detection in a complex clutter environment, with Constant False Alarm Ratio (CFAR), is addressed in this paper. In particular an algorithm for CFAR target detection is applied to the context of FOliage PENetrating (FOPEN) Synthetic Aperture Radar (SAR) imaging. The extreme value distributions family is used to model the data and exploiting the location-scale property of this family of distributions, a multi-model CFAR algorithm is derived. Performance analysis on real data confirms the capability of the developed framework to control the false alarm probability.

KW - radar clutter

KW - radar detection

KW - radar imaging

KW - synthetic aperture radar

KW - vegetation

KW - algorithm design and analysis

KW - Weibull distribution

KW - detectors

UR - http://www.sspd.eng.ed.ac.uk/

U2 - 10.1109/SSPD.2015.7288497

DO - 10.1109/SSPD.2015.7288497

M3 - Paper

SP - 1

EP - 5

T2 - 5th Conference of the Sensor Signal Processing for Defence

Y2 - 9 July 2015 through 10 July 2015

ER -

A location scale based CFAR detection framework for FOPEN SAR images

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Signal Processing Solutions for the Networked Battlespace

Cite this

A location scale based CFAR detection framework for FOPEN SAR images

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Signal Processing Solutions for the Networked Battlespace

Cite this