Visualization of and Software for Omnibus Test Based Change Detected in a Time Series of Polarimetric SAR Data

Allan Aasbjerg Nielsen*, Knut Conradsen, Henning Skriver, Morton J. Canty

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution and a factorization of this test statistic with associated p-values, change analysis in a time series of multilook polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change occurs. Using airborne EMISAR and spaceborne RADARSAT-2 data this paper focuses on change detection based on the p-values, on visualization of change at pixel as well as segment level, and on computer software.
Original languageEnglish
JournalCanadian Journal of Remote Sensing
Volume43
Issue number6
Pages (from-to)582-592
ISSN1712-798X
DOIs
Publication statusPublished - 2017

Cite this

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title = "Visualization of and Software for Omnibus Test Based Change Detected in a Time Series of Polarimetric SAR Data",
abstract = "Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution and a factorization of this test statistic with associated p-values, change analysis in a time series of multilook polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change occurs. Using airborne EMISAR and spaceborne RADARSAT-2 data this paper focuses on change detection based on the p-values, on visualization of change at pixel as well as segment level, and on computer software.",
author = "Nielsen, {Allan Aasbjerg} and Knut Conradsen and Henning Skriver and Canty, {Morton J.}",
year = "2017",
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language = "English",
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pages = "582--592",
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Visualization of and Software for Omnibus Test Based Change Detected in a Time Series of Polarimetric SAR Data. / Nielsen, Allan Aasbjerg; Conradsen, Knut; Skriver, Henning; Canty, Morton J.

In: Canadian Journal of Remote Sensing, Vol. 43, No. 6, 2017, p. 582-592.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Visualization of and Software for Omnibus Test Based Change Detected in a Time Series of Polarimetric SAR Data

AU - Nielsen, Allan Aasbjerg

AU - Conradsen, Knut

AU - Skriver, Henning

AU - Canty, Morton J.

PY - 2017

Y1 - 2017

N2 - Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution and a factorization of this test statistic with associated p-values, change analysis in a time series of multilook polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change occurs. Using airborne EMISAR and spaceborne RADARSAT-2 data this paper focuses on change detection based on the p-values, on visualization of change at pixel as well as segment level, and on computer software.

AB - Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution and a factorization of this test statistic with associated p-values, change analysis in a time series of multilook polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change occurs. Using airborne EMISAR and spaceborne RADARSAT-2 data this paper focuses on change detection based on the p-values, on visualization of change at pixel as well as segment level, and on computer software.

U2 - 10.1080/07038992.2017.1394182

DO - 10.1080/07038992.2017.1394182

M3 - Journal article

VL - 43

SP - 582

EP - 592

JO - Canadian Journal of Remote Sensing (CD-ROM)

JF - Canadian Journal of Remote Sensing (CD-ROM)

SN - 1712-798X

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ER -