Open AccessA PolSAR despeckling method based on Wishart gradient and anisotropic diffusion
Author(s) -
Wang Hongmiao,
Zeng Liang,
Zhang Tao,
Yin Junjun,
Yang Jian
Publication year - 2021
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/ell2.12086
Subject(s) - wishart distribution , anisotropic diffusion , polarimetry , diffusion , computer science , synthetic aperture radar , anisotropy , filter (signal processing) , artificial intelligence , speckle pattern , image (mathematics) , pattern recognition (psychology) , remote sensing , computer vision , optics , physics , geology , scattering , multivariate statistics , machine learning , thermodynamics
The anisotropic diffusion filtering is a classical tool in image processing due to its simplicity and effectiveness. In this letter, we propose a new diffusion‐like filter based on the polarimetric synthetic aperture radar (PolSAR) ratio gradients. The PolSAR ratio gradients combine the information of different polarisation channels and describe the local directional changes in polarimetric characteristics. The proposed filter is then built by utilising the new gradients to derive the diffusion coefficients. The experimental results on synthetic data and real PolSAR images demonstrate the superiority and effectiveness of the new method.