Abstract
| Original language | English |
|---|---|
| Publication date | 2019 |
| Publication status | Published - 2019 |
| Event | Nordic Remote Sensing Conference 2019 - Aarhus, Denmark Duration: 17 Sep 2019 → 19 Sep 2019 |
Conference
| Conference | Nordic Remote Sensing Conference 2019 |
|---|---|
| Country | Denmark |
| City | Aarhus |
| Period | 17/09/2019 → 19/09/2019 |
Cite this
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Change detection in polarimetric synthetic aperture radar data. / Nielsen, Allan Aasbjerg; Skriver, Henning; Conradsen, Knut; Canty, Morton John.
2019. Abstract from Nordic Remote Sensing Conference 2019, Aarhus, Denmark.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
TY - ABST
T1 - Change detection in polarimetric synthetic aperture radar data
AU - Nielsen, Allan Aasbjerg
AU - Skriver, Henning
AU - Conradsen, Knut
AU - Canty, Morton John
PY - 2019
Y1 - 2019
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 sequence 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. Also, a measure of change direction is calculated. Using spaceborne dual polarization Sentinel-1 and full polarization Radarsat-2 data this contribution focuses on change detection based on the p-values, on visualization of change at pixel as well as segment level, and on computer software for local as well as cloud processing.
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 sequence 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. Also, a measure of change direction is calculated. Using spaceborne dual polarization Sentinel-1 and full polarization Radarsat-2 data this contribution focuses on change detection based on the p-values, on visualization of change at pixel as well as segment level, and on computer software for local as well as cloud processing.
M3 - Conference abstract for conference
ER -