DnCNN-RM: an adaptive SAR image denoising algorithm based on residual networks

Authors

LIU Jia-ning (ORCID: https://orcid.org/0000-0003-3595-9847)
Yanfeng Wu (ORCID: https://orcid.org/0000-0002-1498-9177)
Cheng Peng (ORCID: https://orcid.org/0009-0002-5945-7702)
OU Hai-ning
LI Chang-di
ZENG Rui-bin

Publication Details

Journal: Chinese Optics
Published: 2025-01-01
DOI: https://doi.org/10.37188/co.en-2024-0028
Primary Topic: Image and Signal Denoising Methods
Type: article
Field-Weighted Citation Impact: 0.00

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article

DnCNN-RM: an adaptive SAR image denoising algorithm based on residual networks

LIU Jia-ning, Yanfeng Wu, Cheng Peng, OU Hai-ning et al.

Jan 1, 2025

3 links

Chinese Optics

Image and Signal Denoising Methods

article

DnCNN-RM: an adaptive SAR image denoising algorithm based on residual networks

LIU Jia-ning, Yanfeng Wu, Cheng Peng, OU Hai-ning, LI Chang-di, ZENG Rui-bin

January 1, 2025article en

Abstract

No abstract available for this paper.

Chinese OpticsVol. 18(5)

Openalex Percentile: Top 78%

Image and Signal Denoising Methods

DOI Open Access PDF OpenAlex

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DnCNN-RM: an adaptive SAR image denoising algorithm based on residual networks — LIU Jia-ning, Yanfeng Wu, et al. · Chinese Optics (2025) | TGRS Research Map | TGRS