SAR image despeckling using improved detail‐preserving anisotropic diffusion | Zendy

Zhu Lei | Zendy; Zhao Xiaotian | Zendy; Gu Meihua | Zendy

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SAR 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 , artificial intelligence , computer science , computer vision , diffusion , anisotropy , image (mathematics) , pattern recognition (psychology) , image processing , optics , physics , 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.

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