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GeoEye-1: Analysis of Radiometric and Geometric Capability

  • Mattia Crespi
  • Gabriele Colosimo
  • Laura De Vendictis
  • Francesca Fratarcangeli
  • Francesca Pieralice
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 43)

Abstract

The Geoeye-1 satellite, launched in September 2008, is able to acquire imagery in panchromatic mode, with a spatial resolution of 0.41 m at nadir, offering the most powerful way to obtain detailed imagery actually commercially available.

The aim of the work is to evaluate the quality of the GeoEye-1 products through radiometric and geometric analysis; the area test is the city of Rome.

Radiometric quality of the image has been evaluated estimating the level of noise and the characteristic of the Modulation Transfer Function - MTF, that gives an index about the image sharpness.

The second part of the research is focused on the evaluation of the geometric capability of Geoeye-1 satellite. The image has been oriented using two different methods: the rigorous model and the Rational Polynomial Function (RPFs) model with the Rational Polynomial Coefficients (RPCs). The results were analysed in order to compare the orientation quality obtained from different model and different software, in terms of accuracy achievable from the image.

Keywords

HRSI image orientation radiometric quality 

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References

  1. 1.
    Baltsavias, E.P., Pateraki, M., Zhang, L.: Radiometric and Geometric Evaluation of IKONOS Geo Images and Their Use for 3D Building Modeling. In: Joint ISPRS Workshop on High Resolution Mapping from Space (2001)Google Scholar
  2. 2.
    Choi, T.: IKONOS Satellite on Orbit Modulation Transfer Function (MTF) Measurement using Edge and Pulse Method. Master Thesis, South Dakota State University (2002)Google Scholar
  3. 3.
    Crespi, M., De Vendictis, L.: A Procedure for High Resolution Satellite Imagery Quality Assessment. Sensors 9(5), 3289–3313 (2009)CrossRefGoogle Scholar
  4. 4.
    Crespi, M., Fratarcangeli, F., Giannone, F., Pieralice, F.: Chapter 4 - Overview on models for high resolution satellites imagery orientation. In: Li, D., Shan, J., Gong, J. (eds.) Geospatial Technology for Earth Observation data. Springer, Heidelberg (2009)Google Scholar
  5. 5.
    De Vendictis, L.: Quality assessment and enhancement of High Resolution Satellite Imagery for DSM extraction. PhD Thesis, Area di Geodesia e Geomatica Dipartimento di Idraulica Trasporti e Strade, Sapienza Universit di Roma (2007)Google Scholar
  6. 6.
    Golub, G.H., Van Loan, C.F.: Matrix Computation. The Johns Hopkins University Press, Baltimore and London (1993)Google Scholar
  7. 7.
    Hanley, H.B., Fraser, C.S.: Sensor orientation for high-resolution satellite imagery: further insights into bias-compensated RPC, http://www.isprs.org/istanbul2004/comm1/papers/5.pdf
  8. 8.
    Kohm, K., Mulawa, D.: On-Orbit Geolocation Accuracy andImage Quality Performance of the GeoEye-1High Resolution Imaging Satellite. In: GeoEye JACIE Conference Fairfax, Virginia (2009)Google Scholar
  9. 9.
    Tao, C.V., Hu, Y.: 3D reconstruction methods based on the rational function model. Photogrammetric Engineering & Remote Sensing 68(7), 705–714 (2002)Google Scholar
  10. 10.
    Toutin, T.: Geometric processing of remote sensing images: models, algorithms and methods (review paper). International Journal of Remote Sensing 10, 1893–1924 (2004)CrossRefGoogle Scholar
  11. 11.
    Zhang, L.: Automatic Digital Surface Model (DSM) Generation from Linear Array Images. PhD Dissertation, Institute of Geodesy and Photogrammetry, ETH Zurich (2005), ISBN 3-906467-55-4 Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2010

Authors and Affiliations

  • Mattia Crespi
    • 1
  • Gabriele Colosimo
    • 1
  • Laura De Vendictis
    • 2
  • Francesca Fratarcangeli
    • 1
  • Francesca Pieralice
    • 1
  1. 1.Geodesy and Geomatic AreaUniversity of Rome La SapienzaRomeItaly
  2. 2.e-Geos S.p.A.RomeItaly

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