A New Method to Correct Pushbroom Hyperspectral Data Using Linear Features and Ground Control Points

Abstract

Data acquired using aerial pushbroom scanners often contain aircraft motion errors—especially aircraft roll error. This article describes a new algorithm to correct roll errors using both ground control points and linear features digitized on a reference map and the uncorrected image. The algorithm is different from previous methods used to correct aerial pushbroom data because it does not solely rely on a single or multiple straight lines. Rather, it is able to integrate both points and lines together to correct the error. With an associated loss of precision, it can also use points or lines separately. The method is tested on a hyperspectral dataset acquired in the Range Creek, Utah area during June 2009. It was found that the approach is an effective way to remove aircraft roll errors and prepare the image for additional georegistration. A program with a graphical user interface has been written using the algorithm and is available on the project's website.