Abstract
This paper presents an automatic procedure for the geometric corrections of very-high resolution (VHR) optical panchromatic satellite images. The procedure is composed of three steps: an automatic ground control point (GCP) extraction algorithm that matches the linear features that were extracted from the satellite image and reference data; a geometric model that applies a rational function model; and, the orthorectification procedure. Accurate geometric corrections can only be achieved if GCPs are employed to precisely correct the geometric biases of images. Due to the high resolution and the varied acquisition geometry of images, we propose a fast, segmentation based method for feature extraction. The research focuses on densely populated urban areas, which are very challenging in terms of feature extraction and matching. The proposed algorithm is capable of achieving results with a root mean square error of approximately one pixel or better, on a test set of 14 panchromatic Pléiades images. The procedure is robust and it performs well in urban areas, even for images with high off-nadir angles.
Highlights
IntroductionAn increasing number of satellites are capable of imaging in very-high spatial resolution (VHR) of 2 m and less
Space and in particular satellite technologies are progressing very quickly
This paper presents an automatic procedure for the geometric corrections of very-high resolution (VHR) optical panchromatic satellite images
Summary
An increasing number of satellites are capable of imaging in very-high spatial resolution (VHR) of 2 m and less. Commercial satellites can provide panchromatic spatial resolutions of up to 0.3 m, which is hardly a limit that will not be surpassed in the future. The increasing quantity of satellite data leads to the need for processing procedures that work (semi)automatically, and generate products with high accuracy. Automatic processing chains can adequately fulfil the requirements for many applications that work with remote sensing. Among those applications, the ones that work mostly or only with VHR data are rapidly increasing and they usually demand fast delivery of already pre-processed satellite data
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