A robust framework for removing <i>G</i> <sup>0</sup> distributed noise from Synthetic Aperture Radar images-Reference-Cited by-同舟云学术

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A robust framework for removing G ⁰ distributed noise from Synthetic Aperture Radar images

Published:2024-06-05 Issue:1 Volume:11 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Ragesh Rajan M.¹^ORCID,Vinayababu M.²,Shilpa Suresh³^ORCID

Affiliation:

1. Department of ECE, Amrita Vishwa Vidyapeetham, Kollam, Kerala, India

2. Department of ECE, MES College of Engineering, Kuttippuram, Kerala, India

3. Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2359999

Reference66 articles.

1. Amirmazlaghani, M., & Amindavar, H. (2009). A novel statistical approach for speckle filtering of SAR images. In 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop. IEEE. https://doi.org/10.1109/DSP.2009.4785967

2. An Enhanced Approach to Despeckle SAR Images

3. Bhattacharya A. (n.d.). Speckle filtering or speckle statistics Retrieved from http://www.csre.iitb.ac.in/avikb/GNR647/Lec11Speckle.pdf.

4. Buades Antoni Bartomeu Coll & Morel J.-M. (2005). A non-local algorithm for image denoising Computer Vision and Pattern Recognition. In 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR'05) vol. 2 pp. 60–65.

5. Study on Synthetic Aperture Radar Image Denoising Algorithm

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