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针对经过前期处理的遥感图像主要含有高斯噪声和椒盐噪声的特点,提出一种基于PDE的混合去噪模型,该模型克服传统的纯各向异性扩散模型在平滑区域过度扩散、产生阶梯效应和四阶PDE模型在去噪的同时过多损失边缘信息的弱点,在有效去除遥感图像中混合噪声的同时,很好地保持图像的边缘和纹理细节信息。实验结果验证所提出模型的有效性和稳定性。 更多还原

【Abstract】 A PDE-based hybrid model is proposed to de-noise the pre-processed remote sensing images,which are often polluted by Gaussian and salt-pepper noises.The model solves the excessive diffusion problem at smooth regions and staircase effect presented in traditional pure anisotropic diffusion model.Meanwhile,it overcomes the shortage of 4-order PDE model that tends to lose much edge information.The proposed model can not only efficiently remove mixed noise in remote sensing images,but also simultaneo... 更多还原