Open AccessSAR image despeckling using improved detail‐preserving anisotropic diffusion
Author(s) -
Zhu Lei,
Zhao Xiaotian,
Gu Meihua
Publication year - 2014
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/el.2014.0293
Subject(s) - anisotropic diffusion , synthetic aperture radar , smoothing , speckle noise , curvature , embedding , speckle pattern , artificial intelligence , diffusion , computer vision , edge preserving smoothing , computer science , anisotropy , radar imaging , noise (video) , image (mathematics) , radar , algorithm , mathematics , optics , physics , geometry , telecommunications , thermodynamics
The well‐known detail‐preserving anisotropic diffusion (DPAD) for smoothing speckle noise in synthetic aperture radar (SAR) images suffers from poor despeckling performance near edges and serious blocking artefacts in homogeneous regions. The DPAD is extended to effectively alleviate the aforementioned problems by embedding the mean curvature motion controlled by an adaptive coupling function into the DPAD's diffusion equation.