Precise Georeferencing in the Absence of Ground Control: A Strip Adjustment Approach
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Author(s)
Fraser, CS
Ravanbakhsh, M
Awrangjeb, M
Griffith University Author(s)
Year published
2009
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The options available for orientation of satellite imagery in cases requiring optimal metric precision are generally rational functions, where the RPCs are provided by the image supplier, or a rigorous physical model. In either case, it is ground control that facilitates pixel-level georeferencing via a compensation for systematic errors in the sensor metadata. In many remote parts of the world, where satellites are the most viable source of imagery for mapping, there is a lack of ground control, which thus precludes bias-free georeferencing. This paper reports on a practical means of overcoming this problem, namely the ...
View more >The options available for orientation of satellite imagery in cases requiring optimal metric precision are generally rational functions, where the RPCs are provided by the image supplier, or a rigorous physical model. In either case, it is ground control that facilitates pixel-level georeferencing via a compensation for systematic errors in the sensor metadata. In many remote parts of the world, where satellites are the most viable source of imagery for mapping, there is a lack of ground control, which thus precludes bias-free georeferencing. This paper reports on a practical means of overcoming this problem, namely the orientation of long strips of imagery through a bundle adjustment process that requires ground control at the endpoints only. The adjustment utilises a rigorous sensor orientation model. RPCs are then generated for each scene within the strip of images from the adjusted sensor orientation data. These facilitate bias-free georeferencing without reference to ground control. The approach discussed has previously proven successful for automated orthoimage generation from ALOS imagery, and in this paper its application to a 7-scene strip of QuickBird imagery is reported.
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View more >The options available for orientation of satellite imagery in cases requiring optimal metric precision are generally rational functions, where the RPCs are provided by the image supplier, or a rigorous physical model. In either case, it is ground control that facilitates pixel-level georeferencing via a compensation for systematic errors in the sensor metadata. In many remote parts of the world, where satellites are the most viable source of imagery for mapping, there is a lack of ground control, which thus precludes bias-free georeferencing. This paper reports on a practical means of overcoming this problem, namely the orientation of long strips of imagery through a bundle adjustment process that requires ground control at the endpoints only. The adjustment utilises a rigorous sensor orientation model. RPCs are then generated for each scene within the strip of images from the adjusted sensor orientation data. These facilitate bias-free georeferencing without reference to ground control. The approach discussed has previously proven successful for automated orthoimage generation from ALOS imagery, and in this paper its application to a 7-scene strip of QuickBird imagery is reported.
View less >
Journal Title
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume
XXXVIII-1-4-7/W5
Publisher URI
Copyright Statement
© The Author(s) 2009. This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Subject
Geomatic engineering
Computer vision and multimedia computation