Deep Denoising Method for Side Scan Sonar Images without High-quality Reference Data
Author:
Affiliation:
1. School of Ocean Engineering, Harbin Institute of Technology,Weihai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9790087/9790089/09790164.pdf?arnumber=9790164
Reference17 articles.
1. The Handbook of Sidescan Sonar
2. Methods for image denoising using convolutional neural network: a review
3. Non-local mean filtering algorithm based on deep learning
4. Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising
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1. Sample Augmentation Method for Side-Scan Sonar Underwater Target Images Based on CBL-sinGAN;Journal of Marine Science and Engineering;2024-03-08
2. STGAN: Sonar Image Despeckling Method Utilizing GAN and Transformer;Communications in Computer and Information Science;2024
3. RepDNet: A re-parameterization despeckling network for autonomous underwater side-scan sonar imaging with prior-knowledge customized convolution;Defence Technology;2023-12
4. SID-TGAN: A Transformer-Based Generative Adversarial Network for Sonar Image Despeckling;Remote Sensing;2023-10-23
5. LPMsDE: Multi-Scale Denoising and Enhancement Method Based on Laplacian Pyramid Framework for Forward-Looking Sonar Image;IEEE Access;2023
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