SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling
By Alin M. Achim, Panagiotis Tsakalides, Anastasios Bezerianos. IEEE Transactions on Geoscience and Remote Sensing, 2003
458 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/ebe00a08cba11e1404f137620972c5524b7962c6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Vishal M. Patel
- Richard Bamler
- Xiaoxiang Zhu
- He Zhang
- Puyang Wang
- Florence Tupin
- Tiziano Bianchi
- John P. Nolan
In Computer Vision and Pattern Recognition
- Vishal M. Patel
- He Zhang
- Puyang Wang
- Xiaoxiang Zhu
- Tiziano Bianchi
- Alessandro Lapini
- Lichao Mou
- Richard Bamler
In Media Technology
- Vishal M. Patel
- He Zhang
- Puyang Wang
- Xiaoxiang Zhu
- Tiziano Bianchi
- Alessandro Lapini
- Lichao Mou
- Richard Bamler
Citations in the corpus
- Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives (2020, methodology): “either spatially, where local spatial filters, such as the Lee filter [123], Kuan filter [124], and Frost filter [125], are employed, or using wavelet-based methods [126], [127], [128].”
- A Tutorial on Speckle Reduction in Synthetic Aperture Radar Images (2013, methodology): “In [72], the MAP criterion has been used associated to α-stable distributions for the prior of the signal and to a log-normal pdf for the noise.”
- Bibliography on stable distributions, processes and related topics (2004, background): “Banerjee et al. (1999), Kapoor et al. (1999), Achim et al. (2002), Achim et al. (2003), Amiri and Amindavar (2005), Belkacemi and Marcosa (2007), Messali and Soltani (2007), Tsakalides and Nikias (1999), Tsakalides et al. (1999), Tsakalides et al. (2000), Pierce (1996), Lee (1999), Kuruoglu and…”
- Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights (2009, methodology): “For multiplicative GSN, the comparisons have been performed with the wavelet-based image-denoising nonlinear SAR (WIN-SAR) filter [11] and the MAP filter based on undecimated wavelet decomposition and image segmentation (MAP-UWD-S) [13].”
- SAR Image Despeckling Using a Convolutional Neural Network (2017, methodology): “Various methods have been developed in the literature to suppress speckle including multi-look processing [4], [5], filtering methods [6], [7], [8], wavelet-based despecking methods [9], [10], [11], [12], block-matching 3D (BM3D) algorithm [13] and Total Variation (TV) methods [14].”
- A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage (2012, unknown): “To better substantiate this claim, Table II provides results in terms of the edge-preservation index β proposed in [16], obtained as the correlation coefficient between the high-pass versions of original and filtered images.”