Unassisted Quantitative Evaluation Of Despeckling Filters

19 April 2017

Papers citing "Unassisted Quantitative Evaluation Of Despeckling Filters"

8 / 8 papers shown

Title
A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural Networks A. Sebastianelli M. P. D. Rosso Silvia Liberata Ullo Paolo Gamba 44 15 0 19 Apr 2021
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives Giulia Fracastoro E. Magli Giovanni Poggi Giuseppe Scarpa D. Valsesia L. Verdoliva 59 66 0 10 Dec 2020
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks Andrea Bordone Molini D. Valsesia Giulia Fracastoro E. Magli 50 94 0 04 Jul 2020
Multi-Objective CNN Based Algorithm for SAR Despeckling S. Vitale G. Ferraioli V. Pascazio 99 82 0 16 Jun 2020
Complexity Analysis of an Edge Preserving CNN SAR Despeckling Algorithm S. Vitale G. Ferraioli V. Pascazio 45 2 0 17 Apr 2020
A Novel Cost Function for Despeckling using Convolutional Neural Networks G. Ferraioli V. Pascazio S. Vitale 41 13 0 11 Jun 2019
A New Ratio Image Based CNN Algorithm For SAR Despeckling S. Vitale G. Ferraioli V. Pascazio 43 32 0 10 Jun 2019
SAR Image Despeckling Using a Convolutional Neural Network Puyang Wang He Zhang Vishal M. Patel 55 321 0 02 Jun 2017