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C. Zhang; C. S. Fraser; S. Liu (2012)
Publisher: Copernicus Publications
Journal: The International Archives of the Photogrammetry
Languages: English
Types: Article
Subjects: TA1-2040, T, TA1501-1820, Applied optics. Photonics, Engineering (General). Civil engineering (General), Technology
To exploit full metric quality of optical satellite imagery, precise georeferencing is necessary. A number of sensor orientation models designed to exploit the full metric potential of images have been developed over the past decades. In particular, generic models attract more interest as they take full account of the physical imaging process by adopting time dependant satellite orbit models and interior orientation (IO) information provided by the satellite imagery vendors. The quality of IO parameters varies for different satellites and has significant impact on the georeferencing performance. Self-calibration approaches have been developed, however such approaches require a significant amount of ground control with good point distribution. In addition, the results are not always stable due to the correlation between the model parameters. In this paper, a simple yet efficient method has been proposed to correct the IO errors by detailed examination and efficient modelling of the IO error distribution in the focal plane. The proposed correction method, used in conjunction with a generic sensor model, significantly improves the metric performance of satellite images, leading to sub-pixel georeferencing accuracy.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Liu, S., Fraser, C., Zhang, C., Ravanbakhsh, M. and Tong, X., 2011. Georeferencing performance of THEOS imagery. Photogrammetric Record, 26(134):250-262.
    • Radhadevi, P. V., Müller, R., d'Angelo, P. and Reinartz, P. 2011. In-flight Geometric Calibration and Orientation of ALOS/PRISM Imagery with a Generic Sensor Model. Photogrammetric Engineering and Remote Sensing, 77(5): 531- 538.
    • Rottensteiner, F., Weser, T., Lewis, A. and Fraser, C.S., 2009.
    • A strip adjustment approach for precise georeferencing of ALOS imagery. IEEE Transaction on Geoscience and Remote Sensing, 47(12): 4083-4091.
    • Weser, T., Rottensteiner, F., Willneff, J., Poon J. and Fraser C.S., 2008a. Development and testing of a generic sensor model for pushbroom satellite imagery. Photogrammetric Record, 23(123): 255-274.
    • Weser, T., Rottensteiner, F., Willneff, J. and Fraser, C.S., 2008b. An improved pushbroom scanner model for precise georeferencing of ALOS PRISM imagery. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, 37(B1-2): 723-730.
    • Westin, T., 1990. Precision rectification of SPOT imagery. Photogrammetric Engineering and Remote Sensing, 56(2): 247- 253.
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