Remote Sensing Image Super-resolution Reconstruction Study

Spatial resolution of image is a critical index of image quality, and also is an important parameter in the area of image application. However, there are many factors which can lower and degenerate the quality of images in the process of capturing images. An effective solution to this problem is the super-resolution image reconstruction, that means reconstructing a high resolution (HR) image from some low resolution (LR) images, and eliminating the additive noise and blur which is caused by the size of the detector and optical at the same time.The research of reconstructing a super-resolution image and improving the image resolution from multi remote sensing images is mentioned in this dissertation. The main work implemented in this dissertation are as follows:1. Two motion model estimate algorithms- the conjugate gradient algorithm and the affine transformation algorithm-are discussed in the dissertation by analyzing the relationship between the LR image and the HR image.2. The result of reconstructing a HR image is studied when the quantity of LR images is more than or equal 4 by using the spectral de-aliasing algorithm and the spatial iterative algorithm separately.3. By analyzing the corresponding relationship between the pixel gray-levels of two images with half pixel offset and that of high resolution image, the method for reconstructing a super-resolution image from two images with half-pixel offset is studied. Two algorithms are proposed, one is the modified spectral de-aliasing method and the other is the iteration decompound pixel method.4. The feasibility of the super-resolution image reconstruction from the images which are acquired by three-line array camera is validated through experiment.5. All experiment results that are evaluated quantitatively by adopting some common objective methods which are used for evaluating the image quality have proved that the algorithm of the super-resolution image reconstruction is validated and an efficient way to evaluate the effect of reconstruction quantitatively is found at the same time.