In order to make the interpolated remote sensing image preserve the information of source image as much as possible and improve spatial resolution of the image remarkably, a novel algorithm of remote sensing image cubic interpolation based on second generation Contourlet transform (SGCT) is proposed. Firstly, the remote sensing image is decomposed by the SGCT. On this basis, a bilinear interpolation transform is conducted on high-frequency components in frequency band of the low resolution to enable them resemble the high frequency components in frequency band of the high resolution. Finally, the interpolated remote sensing image with the resolution higher than that of the original one is obtained by performing inversed SGCT. Experiment results demonstrate that the proposed algorithm outperforms the algorithms of bi-cubic interpolation algorithm, wavelet bi-cubic interpolation algorithm and the first generation Contourlet bi-cubic interpolation.%为了使插值后的遥感图像在尽可能保持原图像信息的同时,显著提高图像空间分辨率,提出一种基于第二代Contourlet变换的遥感图像三次插值算法.在对遥感图像做第二代Contourlet分解基础上,对低分辨率频带中的高频分量做双线性插值变换,使其相似于高分辨率频带中的高频分量.最后,通过反变换得到比原始图像分辨率高的插值图像.实验结果表明,该方法插值效果优于双三次插值算法、小波双三次插值和第一代Contourlet双三次插值算法.
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