Electronics Optics & Control, Volume. 29, Issue 9, 48(2022)
SAR Image Noise Reduction Model Based on GAN
Synthetic Aperture Radar (SAR) is a coherent imaging system.The images generated from SAR are often polluted by speckle noisewhich results in low accuracy in subsequent segmentation and recognition of SAR images.Aming at the problem of image pollutiona SAR image denoising network model Re-GAN is designedwhich combines Generative Adversarial Network (GAN) with the Residual Network (ResNet).The residual block of ResNet is added into the generator of GAN to enhance the ability of SAR image denoising.The combined loss function in the model can better preserve image details during noise reduction.In MATAR data setRe-GAN is compared with BM3D and wavelet denoising algorithm respectively.The experimental results show that Re-GAN has good performance in both visual effect and quantitative analysis.
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[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. SAR Image Noise Reduction Model Based on GAN[J]. Electronics Optics & Control, 2022, 29(9): 48
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Received: Oct. 6, 2021
Accepted: --
Published Online: Oct. 16, 2022
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