Non-stationary speckle reduction in high resolution SAR images

Author:

Xu ZhihuoORCID,Shi Quan,Chen YunjinORCID,Feng Wensen,Shao Yeqin,Sun Ling,Huang Xinming

Funder

Nantong University-Nantong Joint Research Center for Intelligent Information Technology

Nantong Natural Science and Technology Project

Natural Science Fund for Colleges and Universities in Jiangsu Province

Scientific Research Start-up Foundation for Talent Introduction of Nantong University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference29 articles.

1. A tutorial on speckle reduction in synthetic aperture radar images;Argenti;IEEE Geosci. Remote Sens. Mag.,2013

2. Exploiting patch similarity for SAR image processing: the nonlocal paradigm;Deledalle;IEEE Signal Process. Mag.,2014

3. Benchmarking framework for SAR despeckling;Di Martino;IEEE Trans. Geosci. Remote Sens.,2014

4. Digital image enhancement and noise filtering by use of local statistics;Lee;IEEE Trans. Pattern Anal. Mach. Intell.,1980

5. Segmentation-based MAP despeckling of SAR images in the undecimated wavelet domain;Argenti;IEEE Trans. Geosci. Remote Sens.,2008

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1. Millimeter Wave SAR Imaging Denoising and Classification by Combining Image-to-Image Translation With ResNet;IEEE Access;2023

2. Speckle Image Restoration without Clean Data;2022 26th International Conference on Pattern Recognition (ICPR);2022-08-21

3. Wavelength-Resolution SAR Speckle Model;IEEE Geoscience and Remote Sensing Letters;2022

4. Image denoising and despeckling methods for SAR images to improve image enhancement performance: a survey;Multimedia Tools and Applications;2021-05-05

5. A Review on SAR Image and its Despeckling;Archives of Computational Methods in Engineering;2021-02-07

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