利用梯度保真项具有补偿高频信息的能力,提出一种变分偏微分方程复原方法,用于提高斜模式遥感图像的有效分辨率.分析了斜模式采样条件下混叠现象的产生机理;用最佳倒易晶胞理论求出受混叠与噪声影响最小的斜模式采样图像频谱;对该图像频谱用文中方法去除模糊以得到分辨率提高的图像.实验结果表明,该方法能较好地去除混叠、模糊以及噪声对图像质量的影响,复原图像的信噪比高.
To increase effective resolution of a tilting mode satellite image, we present a novel variational partial differential equation restoration method, which employs the gradient fidelity term to compensate high frequency information. By the method firstly, the mechanism of aliasing phenomenon in the tilting mode sampling condition is analyzed. Then, we use the optimal reciprocal cell theory to gain the sampling image spectrum which contains a minimal amount of aliasing and noise. Finally, we apply the proposed method to deblur the image spectrum. Experimental results indicate that our method can effectively remove aliasing, blur and noise in tilting mode satellite images and the images restored can achieve higher signal noise ratio.