SAR Image Despeckling with Residual-in-Residual Dense Generative Adversarial Network

Yunpeng Bai*, Yayuan Xiao, Xuan Hou, Ying Li, Changjing Shang, Qiang Shen

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

1 Dyfyniadau(SciVal)

Crynodeb

Deep convolutional neural networks have delivered remarkable aptitude in performing Synthetic Aperture Radar (SAR) image speckle removal tasks. Such approaches are nevertheless constrained in balancing speckle removal and preservation of spatial information, particularly with respect to strong speckle noise. In this paper, a novel residual-in-residual dense generative adversarial network is proposed to effectively suppress SAR image speckle while retaining rich spatial information. A despeckling sub-network composed of residual-in-residual dense blocks with an encoder-decoder structure is devised to learn end-to-end mapping of noisy images onto noise-free images, where the combination of residual-in-residual structure and dense connection significantly enhances the feature representation capability. In addition, a discriminator sub-network with a fully convolutional structure is introduced, and the adversarial learning strategy is adopted to continuously refine the quality of despeckled results. Systematic experimental results on simulated and real SAR images demonstrate that the novel approach offers superior performance in both quantitative and visual evaluation as compared to state-of-the-art methods.

Iaith wreiddiolSaesneg
TeitlICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2023
Digwyddiad48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Groeg
Hyd: 04 Meh 202310 Meh 2023

Cyfres gyhoeddiadau

EnwICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Argraffiad)1520-6149

Cynhadledd

Cynhadledd48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Gwlad/TiriogaethGroeg
DinasRhodes Island
Cyfnod04 Meh 202310 Meh 2023

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