Statistics – Applications
Scientific paper
Apr 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003esasp.529e..72l&link_type=abstract
Proceedings of the Workshop on POLinSAR - Applications of SAR Polarimetry and Polarimetric Interferometry (ESA SP-529). 14-16 Ja
Statistics
Applications
Scientific paper
Recently, polarimetric SAR interferometry has generated much interest for forest applications. Tree heights and ground topography can be extracted based on interferometric coherence using a random volume over ground coherent mixture model. The coherence estimation is of paramount importance for the accuracy of tree height estimation. The coherence (or correlation coefficient) is a statistical average of neighboring pixels of similar scattering characteristics. The commonly used algorithm is the boxcar filter, which has the deficiency of indiscriminate averaging of neighboring pixels. The result is that coherence values are lower than they should be. In this paper, we propose a new algorithm to improve the accuracy in the coherence estimation based on speckle filtering of the 6x6 polarimetric interferometry matrix. Simulated images are used to verify the effectiveness of this algorithm. L-Band DLR ESAR data are used to demonstrate the improved accuracy in coherence and in tree height estimation.
Cloude S.
Grunes M. R.
Lee Joon Sue
Papathanassiou K.
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