基于变分方法的遥感图像去噪研究

在分析自适应保真项模型和自适应全变分(ATV)模型基础上,通过实验比较了变分方法模型的优缺点；将ATV模型与保持纹理的自适应保真项模型相结合,得出了相应的梯度下降流,实验结果表明:该方法应用于遥感图像能在有效抑制噪声的同时保持纹理细节,获得较好的视觉效果；最后讨论了偏微分方程应用于遥感图像去噪的进一步研究工作。

Remote Sensing Image Noise Removal Research Based on Variational Method

The adaptive fidelity model and adaptive total variation(ATV) model are analyzed,and the strongpoint and disadvantage of the variational method models are compared according to experiments.The ATV model and texture preserving adaptive fidelity model are combined to deduce a gradient descent flow,and the result proved that it can remove noise effectively applying to remote sensing images,at the same time,the textures of the images are preserved.Finally,improved research tasks needed by remote sensing image noise removal based on partial differential equation are discussed.