Title :
The polarimetric ratio filter applied to polinsar images
Author :
Foucher, Samuel ; López-Martínez, Carlos ; Charbonneau, François
Author_Institution :
Vision Team, Comput. Res. Inst. of Montreal, Montreal, QC, Canada
Abstract :
We are proposing recursive filter for the filtering of Single Look Complex PolInSAR data. This recursive filter allows the iterative refinement of a coarse multilook estimate by reintroducing details that have been oversmoothed. We investigate if wether or not information about the image structure (i.e. spatial details) could be recovered from all the terms of the PolInSAR matrix. Preliminary results on simulated images show also that bias on various polarimetric parameters are decreasing with iterations.
Keywords :
geophysical image processing; iterative methods; matrix algebra; radar imaging; radar polarimetry; recursive filters; synthetic aperture radar; PolInSAR matrix; coarse multilook estimation; image structure; iterative refinement; polarimetric ratio filter; recursive filter; single look complex PolInSAR; Covariance matrix; Noise; Remote sensing; Scattering; Speckle; Synthetic aperture radar; Wavelet transforms; PolInSAR; Speckle Filtering; Wavelet;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351259
