A new coarse-to-fine rectification algorithm for airborne push-broom hyperspectral images

Rectification for airborne push-broom hyperspectral images is an indispensable and important task in registration procedure. In this paper, a coarse-to-fine rectification algorithm is proposed. In the coarse rectification process, the data provided by the Positioning and Orientation System (POS) is used in a model of direct georeference position to adjust the displacement of each line of images. In the fine rectification step, polynomial model is applied to realize that the geometric relationships of all the pixels in raw image space are same to those in the reference image. Experiments show that the fine rectified images are satisfying, and our rectification algorithm is very effective.