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.
Highlights
Geometric correction is an important part of airborne push broom images processing
The goal of this work was to create an algorithm that can be applicable to airborne push broom scanner images without using GPS and other on-board data
Image 4 depictures the result of geometric correction combined with a reference map
Summary
Geometric correction is an important part of airborne push broom images processing. Airborne systems provide higher spatial resolution and immediacy as compared to space imaging, while push broom scanners allow to achieve high spectral resolution. These images always have significant geometric distortions. Push broom scanners observe one image line at a time, resulting in shifts of relative positions of scanned areas. Before further processing of these images it is necessary to perform geometric correction, i.e. compensate for geometric distortions and make possible using these images to create topographic maps
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