A NEW CONTROL POINTS BASED GEOMETRIC CORRECTION ALGORITHM FOR AIRBORNE PUSH BROOM SCANNER IMAGES WITHOUT ON-BOARD DATA
Keywords: geometric correction, push broom sensors, hyperspectral imaging, airborne imaging, ground control point (GCP)
Abstract. Push broom scanners, such as video spectrometers (also called hyperspectral sensors), are widely used in the present. Usage of scanned images requires accurate geometric correction, which becomes complicated when imaging platform is airborne. This work contains detailed description of a new algorithm developed for processing of such images. The algorithm requires only user provided control points and is able to correct distortions caused by yaw, flight speed and height changes. It was tested on two series of airborne images and yielded RMS error values on the order of 7 meters (3-6 source image pixels) as compared to 13 meters for polynomial-based correction.
