| 标题 |
 LG-DBNet: Local and Global Dual-Branch Network for SAR Image Denoising LG-DBNet：SAR图像局部和全局双分支去噪网络
相关领域
合成孔径雷达
降噪
计算机科学
图像去噪
遥感
对偶（语法数字）
人工智能
雷达成像
计算机视觉
地质学
电信
雷达
艺术
文学类
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Abstract: Synthetic aperture radar (SAR) tends to be seriously affected by speckle noise due to its inherent imaging characteristics, which brings great challenges to the high-level visualization task of SAR images. Speckle suppression, therefore, plays a crucial role in remote sensing image processing. Attention-based SAR image denoising algorithms frequently struggle to capture rich feature information and face challenges in balancing the trade-off between denoising and preserving texture details. To solve the above problems, this article constructs a local and global dual-branch network (LG-DBNet) for SAR image denoising. This network can effectively suppress speckle noise while fully retaining the detailed information of the original image. First, the shallow features are extracted through simple convolution. |
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