Multi-polarization SAR change detection: unstructured versus structured GLRT

Vincenzo Carotenuto; Carmine Clemente; Antonio De Maio; John Soraghan; Salvatore Iommelli

Multi-polarization SAR change detection: unstructured versus structured GLRT

Vincenzo Carotenuto, Carmine Clemente, Antonio De Maio, John Soraghan, Salvatore Iommelli

Electronic And Electrical Engineering

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

Abstract

The problem of coherent multi-polarization SAR change detection exploiting data collected from N multiple polarimetric channels, is addressed in this paper. The change detection problem is formulated as a binary hypothesis testing problem and a special block-diagonal structure for the polarimetric covariance matrix is forced to design a novel detector based
on the Generalized Likelihood Ratio Test criterion. It is shown that the new decision rule ensures the Constant False Alarm Rate (CFAR) property. At the analysis stage, results on both simulated and real high resolution SAR data show the effectiveness of the proposed decision rule and its superiority against the traditional unstructured GLRT in some scenarios of practical interest.

Original language	English
Title of host publication	2014 Sensor Signal Processing for Defence (SSPD)
Subtitle of host publication	Conference 2014
Publisher	IEEE
Pages	56-60
Number of pages	5
ISBN (Print)	978-1-4799-5294-6
Publication status	Published - 2014
Event	2014 Sensor Signal Processing for Defence - Scotland, Edinburgh, United Kingdom Duration: 8 Sept 2014 → 9 Sept 2014

Conference

Conference	2014 Sensor Signal Processing for Defence
Country/Territory	United Kingdom
City	Edinburgh
Period	8/09/14 → 9/09/14

Keywords

SAR imaging
change detection
generalized likelihood ratio test

Cite this

@inproceedings{f72890e4ed764740866b64123db189df,

title = "Multi-polarization SAR change detection: unstructured versus structured GLRT",

abstract = "The problem of coherent multi-polarization SAR change detection exploiting data collected from N multiple polarimetric channels, is addressed in this paper. The change detection problem is formulated as a binary hypothesis testing problem and a special block-diagonal structure for the polarimetric covariance matrix is forced to design a novel detector basedon the Generalized Likelihood Ratio Test criterion. It is shown that the new decision rule ensures the Constant False Alarm Rate (CFAR) property. At the analysis stage, results on both simulated and real high resolution SAR data show the effectiveness of the proposed decision rule and its superiority against the traditional unstructured GLRT in some scenarios of practical interest.",

keywords = "SAR imaging, change detection, generalized likelihood ratio test",

author = "Vincenzo Carotenuto and Carmine Clemente and {De Maio}, Antonio and John Soraghan and Salvatore Iommelli",

year = "2014",

language = "English",

isbn = "978-1-4799-5294-6",

pages = "56--60",

booktitle = "2014 Sensor Signal Processing for Defence (SSPD)",

publisher = "IEEE",

note = "2014 Sensor Signal Processing for Defence ; Conference date: 08-09-2014 Through 09-09-2014",

}

TY - GEN

T1 - Multi-polarization SAR change detection

T2 - 2014 Sensor Signal Processing for Defence

AU - Carotenuto, Vincenzo

AU - Clemente, Carmine

AU - De Maio, Antonio

AU - Soraghan, John

AU - Iommelli, Salvatore

PY - 2014

Y1 - 2014

N2 - The problem of coherent multi-polarization SAR change detection exploiting data collected from N multiple polarimetric channels, is addressed in this paper. The change detection problem is formulated as a binary hypothesis testing problem and a special block-diagonal structure for the polarimetric covariance matrix is forced to design a novel detector basedon the Generalized Likelihood Ratio Test criterion. It is shown that the new decision rule ensures the Constant False Alarm Rate (CFAR) property. At the analysis stage, results on both simulated and real high resolution SAR data show the effectiveness of the proposed decision rule and its superiority against the traditional unstructured GLRT in some scenarios of practical interest.

AB - The problem of coherent multi-polarization SAR change detection exploiting data collected from N multiple polarimetric channels, is addressed in this paper. The change detection problem is formulated as a binary hypothesis testing problem and a special block-diagonal structure for the polarimetric covariance matrix is forced to design a novel detector basedon the Generalized Likelihood Ratio Test criterion. It is shown that the new decision rule ensures the Constant False Alarm Rate (CFAR) property. At the analysis stage, results on both simulated and real high resolution SAR data show the effectiveness of the proposed decision rule and its superiority against the traditional unstructured GLRT in some scenarios of practical interest.

KW - SAR imaging

KW - change detection

KW - generalized likelihood ratio test

UR - http://www.see.ed.ac.uk/drupal/sites/default/files/sspd-conf/SSPD_2014ebook.pdf

M3 - Conference contribution book

SN - 978-1-4799-5294-6

SP - 56

EP - 60

BT - 2014 Sensor Signal Processing for Defence (SSPD)

PB - IEEE

Y2 - 8 September 2014 through 9 September 2014

ER -

Multi-polarization SAR change detection: unstructured versus structured GLRT

Abstract

Conference

Keywords

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