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 (short) 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(s) occur. The technique is demonstrated on airborne EMISAR C-band data but may be applied to ALOS, COSMO-SkyMed, RadarSat-2, Sentinel-1, TerraSAR-X, and Yoagan or other dual- and quad/full-pol data also.
|Title of host publication||Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016)|
|Publication status||Published - 2016|
|Event||The International Geoscience and Remote Sensing Symposium - China National Convention Center, Beijing, China|
Duration: 10 Jul 2016 → 15 Jul 2016
|Conference||The International Geoscience and Remote Sensing Symposium|
|Location||China National Convention Center|
|Period||10/07/2016 → 15/07/2016|