Remote Sensing Image Super-resolution Reconstruction Based on Interpolation
Bian Zheng-f · Microcomputer Information · 2008
It is easy to obtain multi-frame multi-temporal images about same scene by virtue of the characters of the satellite sensors.These images provide different datum from different observation orientation and there are complementary information among these images.In this paper,we use the interpolation method to reconstruct a super-resolution remote sensing image.Firstly,the sub-pixels motion parameters are estimated between the reference image and other images to register these images.Then the low-resolution image values are interpolated on a regular high-resolution grid to get the super-resolution image.The reconstructed images have better quality than the original image,and the mean values,standard variation and information entropy are listed to compare with that of original image.