M
Mariana Poderico
Researcher at University of Naples Federico II
Publications - 8
Citations - 801
Mariana Poderico is an academic researcher from University of Naples Federico II. The author has contributed to research in topics: Synthetic aperture radar & Engineering. The author has an hindex of 5, co-authored 5 publications receiving 637 citations.
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Journal ArticleDOI
A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage
TL;DR: A novel despeckling algorithm for synthetic aperture radar (SAR) images based on the concepts of nonlocal filtering and wavelet-domain shrinkage, which compares favorably w.r.t. several state-of-the-art reference techniques, with better results both in terms of signal-to-noise ratio and of perceived image quality.
Journal ArticleDOI
Benchmarking Framework for SAR Despeckling
TL;DR: This paper proposes a new framework for the objective (quantitative) assessment of SAR despeckling techniques, based on simulation of SAR images relevant to canonical scenes, and chooses a suitable set of canonical scenes and corresponding objective measures on the SAR images that consider speckle suppression and feature preservation.
Proceedings ArticleDOI
A nonlocal approach for SAR image denoising
TL;DR: A new despeckling technique based on the “nonlocal” denoising filter BM3D is presented, modified in order to take into account SAR image characteristics.
Proceedings ArticleDOI
Sigmoid shrinkage for BM3D denoising algorithm
TL;DR: A modified version of the BM3D algorithm recently introduced by Dabov et al. is proposed for the denoising of images corrupted by additive white Gaussian noise, with an improvement on the thresholding of wavelet coefficients.
Proceedings ArticleDOI
SAR image simulation for the assessment of despeckling techniques
TL;DR: A new framework for the quantitative assessment of SAR despeckling techniques is proposed, based on physical-level simulation of SAR images corresponding to canonical scenes, which selects a small set of canonical scenes and a suitable set of objective measures which account for speckle suppression and image feature preservation.