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基于PDE方法的遥感图像处理 被引量:6

Remote Sensing Image Preprocessing Based on PDE Method
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摘要 前期处理后的遥感图像中主要剩有高斯白噪声和椒盐噪声,传统平滑滤波技术很难同时兼顾除噪和保持边缘的要求;所改进的偏微分方程(PDE)滤波算法能很好地适应遥感图像噪声特征,在消除噪声的同时能很好的保留边缘和纹理细节;仿真实验验证了算法的正确性及有效性;研究了算法关键参数的选择范围和处理效果,为实际应用提供指导。 After pre-filtering, the residual noise of remote sensing image can be regarded as Gauss noise and pepper-salt noise. It' s very difficult to filter these noises while to keep the edges in the image. A new improved PDE model is introduced and applied to the remote sensing image, which can deal with this problem. By chosing appropriate parameters, the results are encouraging.
出处 《计算机测量与控制》 CSCD 2006年第9期1254-1256,共3页 Computer Measurement &Control
关键词 遥感图像 偏微分方程 各向异性扩散 Perona&Malik模型 remote sensing image PDE anisortopic diffusion Perona-Malic model
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参考文献7

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二级参考文献31

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