Journal article
Determining the Points of Change in Time Series of Polarimetric SAR 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
National Space Institute, Technical University of Denmark3
Microwaves and Remote Sensing, National Space Institute, Technical University of Denmark4
We present the likelihood ratio test statistic for the homogeneity of several complex variance–covariance matrices that may be used in order to assess whether at least one change has taken place in a time series of SAR data. Furthermore, we give a factorization of this test statistic into a product of test statistics that each tests simpler hypotheses of homogeneity up to a certain point and that are independent if the hypothesis of total homogeneity is true.
This factorization is used in determining the (pixelwise) time points of change in a series of six L-band EMISAR polarimetric SAR data. The pixelwise analyses are applied on homogeneous subareas covered with different vegetation types using the distribution of the observed p-values.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2016 |
| Pages: | 3007-3024 |
| ISSN: | 15580644 and 01962892 |
| Types: | Journal article |
| DOI: | 10.1109/TGRS.2015.2510160 |
| ORCIDs: | Conradsen, Knut , Nielsen, Allan Aasbjerg and Skriver, Henning |
Complex Wishart distribution Complex covariance matrix test statistic Dual polarization EMISAR Full polarization Multitemporal synthetic aperture radar (SAR) data Omnibus test statistic Quad polarization Remote sensing change detection
Covariance matrices Detectors L-band Scattering Speckle Synthetic aperture radar Time series analysis complex Wishart distribution dual polarization full polarization multitemporal synthetic aperture radar (SAR) data omnibus test statistic quad polarization remote sensing change detection
