Based on a previously published algorithm capable of estimating the radar cross-section in synthetic aperture radar (SAR) intensity images, a new filter is presented utilizing multi-look polarimetric SAR images. The underlying mean covariance matrix is estimated from the observed sample covariance matrices, and by applying a set of small orientation-dependent filters in an iterative scheme, the input image becomes highly filtered while maintaining most of the structures in the scene. Results using multi-look polarimetric C-band data from the Danish airborne polarimetric SAR, EMISAR, are presented.
|Title of host publication||International Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000.|
|Publication status||Published - 2000|
|Event||IEEE 2000 International Geoscience and Remote Sensing Symposium - Honolulu, HI, United States|
Duration: 24 Jul 2000 → 28 Jul 2000
|Conference||IEEE 2000 International Geoscience and Remote Sensing Symposium|
|Period||24/07/2000 → 28/07/2000|