부산대학교 도서관

Previous works introducing dropped-channel polarimetric synthetic aperture radar compressive sensing demonstrated the ability to reconstruct fully-polarimetric imagery from a sub-set of measured channels. In this paper, we showcase the ability of that model to perform super-resolution of images. By leveraging the basis pursuit denoising algorithm and the antenna crosstalk information, we are able to both recover a dropped channel and super-resolve the images in one step. We simulate results using both simple point targets and the GOTCHA dataset.