Abstract: In this paper a new speckle filter for SAR images is proposed, based on a wavelet decomposition. The N-levels decomposition of the initial image ...
ABSTRACT. In this paper a new speckle filter for SAR images is pro- posed, based on a wavelet decomposition. The N-levels decomposition of the initial image ...
A new speckle filter for SAR images is proposed, based on a wavelet decomposition, which provides high frequency images containing wavelet coefficients and ...
Authors Samuel Foucher, ; Institutions École nationale d'ingénieurs de Brest, ; Cites: 12 ; Cited by: 7 ; Related to: 10 ...
This study introduces an unsupervised deep learning framework, termed speckle-to-speckle (S2S), designed for speckle and noise suppression.
Unsupervised change detection is a process that makes a direct comparison of a pair of remote sensing images acquired on the same geographical area at different ...
Jun 27, 2023 · We present a fully unsupervised algorithm for single-frame OCT denoising (SSN2V) that fulfills these goals by incorporating known operators into our network.
Jul 31, 2022 · We propose a deep-learning based method for speckle removal without these limitations. To enable this, we make use of realistic ultrasound simulation ...
Missing: multiscale | Show results with:multiscale
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May 13, 2022 · This work has proposed a novel unsupervised OCT image denoising algorithm which combines the cross-scale CNN and the transformer.
Jul 23, 2023 · This work dedicates to this issue and develops a novel speckle filtering approach for multi-temporal PolSAR data by multi-dimensional information fusion.