Super-resolution imaging using remote sensing platform

Super-resolution framework is applied to airplane and satellite imagery to enhance the spatial property of multiple acquisition images. By using the brightness control, the differences caused by spectral and geometric configuration are adjusted. Subpixel shift is accurately obtained by phase correlation technique. Blur properties caused by pushbroom scanning systems are modeled using anisotropic functions. Maximum a posterior (MAP) solution is used to estimate high resolution images. Sequential airplane photo and ASTER imagery are used to apply the proposed methodology. The validity of the model is shown by checking the visual properties of reconstructed images, which is clearly observed on the edge response of buildings and piers.