A Two-Component Deep Learning Network for SAR Image Denoising-Reference-Cited by-同舟云学术

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A Two-Component Deep Learning Network for SAR Image Denoising

Published:2020 Issue: Volume:8 Page:17792-17803
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gu Feng^ORCID,Zhang Hong^ORCID,Wang Chao

Funder

National Natural Science Foundation of China

National High-tech Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/08954707.pdf?arnumber=8954707

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Hierarchical Low-Rank Denoising Model for Remote Sensing Images Based on Deep Unfolding;Sensors;2024-07-15

2. Recent Advances in SAR Image Analysis Using Deep Learning Approaches: Examples of Speckle Denoising and Change Detection;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

3. Automatic Speckle Noise Reduction in SAR Imagery Using Optimized Kernel Support Vector Machine;International Journal of Computational Intelligence and Applications;2024-03-14

4. ADERLNet: Adaptive Denoising Enhancement Representation Learning for Low-Latency and High-Accurate Target Detection on SAR Sensors;IEEE Sensors Journal;2024-03-01

5. Edge-aware nonlinear diffusion-driven regularization model for despeckling synthetic aperture radar images;EURASIP Journal on Image and Video Processing;2024-01-11

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