SAR Image Despecklingthrough ConvolutionalNeural Networks思维导图
SAR Image Despecklingthrough ConvolutionalNeural Networks
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思维导图大纲
SAR Image Despeckling through Convolutional Neural Networks思维导图模板大纲
Ⅰ Introduction
Background
SAR images are often hindered by speckle noise, which can negatively impact automatic image analysis.
SAR image despeckling methods have become increasingly important to preserve relevant image features.
Research gap
Most speckle suppression methods rely on detailed statistical models.
The statistics can vary significantly.
Research aim
Investigate the use of discriminative model learning through CNNs for SAR image despeckling.
Synopsis of the research
Use CNNs to overcome the modeling issue for AWGN image denoising.
Ⅱ Proposed Method
Materials
SAR imgaes
Procedure （Figure 1）
Divide images into noisy and clean patches.
Subtract the clean patches from the noisy patches to get the residual patches.
Use CNN to learn residual patches by adjusting weights through loss function.
Architecture of CNN (Figure 2)
The network has 17 full convolutional layers with 64 feature maps, recovers the speckle component instead of the clean image, and uses it to subtract from the noisy image.
Ⅲ Experimental Results
Experimental Settings
The experiments were carried out in Matlab comparing results with three despeckling algorithms, PPB,SAR-BM3D,and NL-SAR by perfor-mance indexes (PSNR&SSIM&ENL).
Outcomes
CNNs creat better visual inspection with an impressive improvement in detail preservation on simulated SAR images.
CNNs achieve the best scores on real SAR image, indicating a better speckle suppression and detail preservation.
Ⅳ Conclusion
CNNs are more suitable for SAR image despeckling with the residual learning strategy compared with traditional methods.
Note
Abbr : SAR : Synthetic Aperture Radar ; AWGN : Additive White Gaussian Noise ; CNNs : Convolutional Neural Networks ; PSNR : Peak Signal-to-Noise Ratio ; SSIM : Structural Similarity ; ENL : Equivalent Number of Looks
Figure 1
Figure 2
The first paper investigating CNNs for SAR image despeckling.思维导图模板大纲
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