A multi-family GLRT for detection in polarimetric SAR images

L. Pallotta; C. Clemente; A. De Maio; D. Orlando

doi:10.1109/SSPD.2016.7590584

A multi-family GLRT for detection in polarimetric SAR images

L. Pallotta, C. Clemente, A. De Maio, D. Orlando

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

67 Downloads (Pure)

Abstract

This paper deals with detection from multipolarization SAR images. The problem is cast in terms of a composite hypothesis test aimed at discriminating between the Polarimetric Covariance Matrix (PCM) equality (absence of target in the tested region) and the situation where the region under test exhibits a PCM with at least an ordered eigenvalue smaller than that of a reference covariance. This last setup reflects the physical condition where the back scattering associated with the target leads to a signal, in some eigen-directions, weaker than the one gathered from a reference area where it is apriori known the absence of targets. A Multi-family Generalized Likelihood Ratio Test (MGLRT) approach is pursued to come up with an adaptive detector ensuring the Constant False Alarm Rate (CFAR) property. At the analysis stage, the behaviour of the new architecture is investigated in comparison with a benchmark (but non-implementable) and some other adaptive sub-optimum detectors available in open literature. The study, conducted in the presence of both simulated and real data, confirms the practical effectiveness of the new approach.

Original language	English
Title of host publication	2016 Sensor Signal Processing for Defence (SSPD)
Place of Publication	Piscataway, NJ.
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781509003266
DOIs	https://doi.org/10.1109/SSPD.2016.7590584
Publication status	Published - 18 Oct 2016
Event	6th Conference of the Sensor Signal Processing for Defence - Royal College of Surgeons, Edinburgh, United Kingdom Duration: 22 Sep 2016 → 23 Sep 2016 Conference number: 6

Conference

Conference	6th Conference of the Sensor Signal Processing for Defence
Abbreviated title	SSPD 2016
Country	United Kingdom
City	Edinburgh
Period	22/09/16 → 23/09/16

Keywords

constant false alarm rate
covariance matrix equality
multi-family generalized likelihood ratio test
polarimetric SAR images

Access to Document

10.1109/SSPD.2016.7590584

Pallotta-etal-SSPD-2016-A-multi-family-GLRT-for-detectionAccepted author manuscript, 494 KB

Link to publication in Scopus

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Projects

1 Finished

Signal Processing Solutions For the Networked Battlespace

Clemente, C. & Soraghan, J.

1/04/13 → 31/03/18

Project: Research

Cite this

Pallotta, L., Clemente, C., De Maio, A., & Orlando, D. (2016). A multi-family GLRT for detection in polarimetric SAR images. In 2016 Sensor Signal Processing for Defence (SSPD) (pp. 1-5). [7590584] Piscataway, NJ.: IEEE. https://doi.org/10.1109/SSPD.2016.7590584

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title = "A multi-family GLRT for detection in polarimetric SAR images",

abstract = "This paper deals with detection from multipolarization SAR images. The problem is cast in terms of a composite hypothesis test aimed at discriminating between the Polarimetric Covariance Matrix (PCM) equality (absence of target in the tested region) and the situation where the region under test exhibits a PCM with at least an ordered eigenvalue smaller than that of a reference covariance. This last setup reflects the physical condition where the back scattering associated with the target leads to a signal, in some eigen-directions, weaker than the one gathered from a reference area where it is apriori known the absence of targets. A Multi-family Generalized Likelihood Ratio Test (MGLRT) approach is pursued to come up with an adaptive detector ensuring the Constant False Alarm Rate (CFAR) property. At the analysis stage, the behaviour of the new architecture is investigated in comparison with a benchmark (but non-implementable) and some other adaptive sub-optimum detectors available in open literature. The study, conducted in the presence of both simulated and real data, confirms the practical effectiveness of the new approach.",

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AB - This paper deals with detection from multipolarization SAR images. The problem is cast in terms of a composite hypothesis test aimed at discriminating between the Polarimetric Covariance Matrix (PCM) equality (absence of target in the tested region) and the situation where the region under test exhibits a PCM with at least an ordered eigenvalue smaller than that of a reference covariance. This last setup reflects the physical condition where the back scattering associated with the target leads to a signal, in some eigen-directions, weaker than the one gathered from a reference area where it is apriori known the absence of targets. A Multi-family Generalized Likelihood Ratio Test (MGLRT) approach is pursued to come up with an adaptive detector ensuring the Constant False Alarm Rate (CFAR) property. At the analysis stage, the behaviour of the new architecture is investigated in comparison with a benchmark (but non-implementable) and some other adaptive sub-optimum detectors available in open literature. The study, conducted in the presence of both simulated and real data, confirms the practical effectiveness of the new approach.

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