Despeckling PolSAR Images with a Structure Tensor Filter
journal contribution
posted on 2020-06-24, 07:45 authored by D Santana-Cedres, L Gomez, L Alvarez, Alejandro FreryAlejandro Frery© 2004-2012 IEEE. In this letter, we propose a new despeckling filter for fully polarimetric synthetic aperture radar (PolSAR) images defined by 3× 3 complex Wishart distributions. We first generalize the well-known structure tensor to deal with PolSAR data which allows to efficiently measure the dominant direction and contrast of edges. The generalization includes stochastic distances defined in the space of the Wishart matrices. Then, we embed the formulation into an anisotropic diffusion-like schema to build a filter able to reduce speckle and preserve edges. We evaluate its performance through an innovative experimental setup that also includes Monte Carlo analysis. We compare the results with a state-of-the-art polarimetric filter.
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Preferred citation
Santana-Cedres, D., Gomez, L., Alvarez, L. & Frery, A.C. (2020). Despeckling PolSAR Images with a Structure Tensor Filter. IEEE Geoscience and Remote Sensing Letters, 17(2), 357-361. https://doi.org/10.1109/LGRS.2019.2919452Publisher DOI
Journal title
IEEE Geoscience and Remote Sensing LettersVolume
17Issue
2Publication date
2020-02-01Pagination
357-361Publisher
Institute of Electrical and Electronics Engineers (IEEE)Publication status
PublishedISSN
1545-598XeISSN
1558-0571Usage metrics
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