Conference paper
Change detection in multi-temporal dual polarization Sentinel-1 data
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Jülich Research Centre3
National Space Institute, Technical University of Denmark4
Microwaves and Remote Sensing, National Space Institute, Technical University of Denmark5
Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution with an associated p-value and a factorization of this test statistic, change analysis in a time series of 19 multilook, dual polarization Sentinel-1 SAR data in the covariance matrix representation (with diagonal elements only) is carried out.
The omnibus test statistic and its factorization detect if and when change occurs.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2017 |
| Pages: | 3901-3908 |
| Proceedings: | 2017 IEEE International Geoscience and Remote Sensing Symposium |
| Series: | Ieee International Geoscience and Remote Sensing Symposium Proceedings |
| ISBN: | 1509049509 , 1509049517 , 1509049525 , 9781509049509 , 9781509049516 and 9781509049523 |
| ISSN: | 21537003 and 21536996 |
| Types: | Conference paper |
| DOI: | 10.1109/IGARSS.2017.8127854 |
| ORCIDs: | Nielsen, Allan Aasbjerg , Skriver, Henning and Conradsen, Knut |
associated p-value change analysis change detection complex Wishart distribution covariance matrices covariance matrix representation dual polarization Sentinel-1 SAR data matrix algebra multilook dual polarization Sentinel-1 SAR data multitemporal dual polarization Sentinel-1 data omnibus likelihood ratio test statistic omnibus test statistic radar polarimetry remote sensing by radar synthetic aperture radar time series variance-covariance matrices
