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Jun, 2017
使用卷积神经网络进行SAR图像除斑
SAR Image Despeckling Using a Convolutional
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Puyang Wang, He Zhang, Vishal M. Patel
TL;DR
本研究提出了一种基于深度学习的方法,即图像去斑卷积神经网络(ID-CNN),用于自动从输入的噪声图像中去除斑点。它使用一组卷积层、批量归一化和修正线性单元激活函数以及分量分裂残差层来估计斑点,并使用欧几里得损失和总变分损失的组合进行端到端的训练,与现有的非常规斑点降噪方法相比,在合成和实际SAR图像上都取得了显著的改进效果。
Abstract
synthetic aperture radar
(SAR) images are often contaminated by a multiplicative noise known as speckle. Speckle makes the processing and interpretation of SAR images difficult. We propose a
deep learning
-based a
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