A MULTIRESOLUTION FEATURE BASED METHOD FOR AUTOMATIC REGISTRATION OF SATELLITE IMAGERY BASED ON DIGITAL MAPS

Farhad Samadzadegan, Sara Saeedi, Mohammad Hosseini

Abstract

The registration of satellite imagery based on object information such as digital vector maps is one of the main key tasks in most of remote sensing applications. Due to the tremendous complications and complexities associated with the natural scenes appearing in satellite imageries and vector maps, fully automatic registration process have faced serious obstacles and thus, only in a relatively simple imaging environment a reliable result is normally expected. In the proposed procedure of this paper, Genetic algorithms (GAs) are used to detect and match the corresponding key features in the satellite image and object data based on a multi-resolution representation of information and math models. The present approach is designed to be completely independent from the sensor type and any a prior information on the exterior orientation. A first successful application of proposed approach is demonstrated for automatic registration of IKONOS imagery and GIS map.

References

  1. Chipperfield, A., Fleming, P., 1996. Parallel Genetic Algorithms. In Parallel & Distributed Computing Handbook by A. Y. H. Zomaya, McGraw-Hill, pp. 1118-1143.
  2. Cecconi A., R. Weibel and M. Barrault 2000. Improving automated generalization for on demand web mapping by multi-scale databases. Proceedings of joint international symposium on geospatial theory, processing and application, ISPRS, Ottawa, Canada, 2002, pp. 1-9.
  3. Dowman, I., and J.T. Dolloff, 2000. An evaluation of rational functions for photogrammetric restitution. Int'l Archive of photogrammetry and Remote Sensing, 33(Part B3): 254-266.
  4. Greve, C.W., C.W. Molander, and D.K. Gordon, 1992. Image processing on open systems, PE&RS, 58(1): 85-89.
  5. Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley Longman.
  6. Grodecki, J., 2001. IKONOS stereo feature extractionRPC approach. Proceedings of 2001 ASPRS Annual Convention, 23-27 April 2001, St. Louis, Missouri, unpaginated (CD ROM).
  7. Heipke, C., 1997. Automation of interior, relative and absolute orientation. ISPRS Journal of Photogrammetry and Remote Sensing, 52: 57-73.
  8. Holland, J., 1975. Adaptation of Natural and Artificial Systems, The University of Michigan Press, Ann Arbor.
  9. Husband, P., 1990. Genetic Algorithms in Optimisation and Adaptation. Advances in Parallel Algorithms Kronsjo and Shumsheruddin ed., pp. 227-276, 1990.
  10. Madani, M., 1999. Real-time sensor-independent positioning by rational functions. Proceeding of ISPRS Workshop on Direct versus Indirect Methods of Sensor Orientation, 25-26 November 1999, Barcelons, Spain, pp. 64-75.
  11. Paderes, Jr, F.C., E.M. Mikhail, and J.A. Fagerman, 1989. Batch and on-line evaluation of stereo SPOT imagery. Proceeding of the ASPRS-ACSM Convention, 02-07 April, Baltimore, Maryland, pp. 31-40.
  12. Smith, M. J. and Park, D. W. G., 1999. Towards a new approach for absolute and exterior orientation. Photogrammetric Record, 16(94): 617-623.
  13. Tao, C.V., and Y. Hu, 2001. A comprehensive study of the rational function model for photogrammetric processing. Photogrammetric Engineering & Remote Sensing, 67(12): 1347-1357.
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Paper Citation


in Harvard Style

Samadzadegan F., Saeedi S. and Hosseini M. (2006). A MULTIRESOLUTION FEATURE BASED METHOD FOR AUTOMATIC REGISTRATION OF SATELLITE IMAGERY BASED ON DIGITAL MAPS . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 523-526. DOI: 10.5220/0001378505230526


in Bibtex Style

@conference{visapp06,
author={Farhad Samadzadegan and Sara Saeedi and Mohammad Hosseini},
title={A MULTIRESOLUTION FEATURE BASED METHOD FOR AUTOMATIC REGISTRATION OF SATELLITE IMAGERY BASED ON DIGITAL MAPS},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={523-526},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001378505230526},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - A MULTIRESOLUTION FEATURE BASED METHOD FOR AUTOMATIC REGISTRATION OF SATELLITE IMAGERY BASED ON DIGITAL MAPS
SN - 972-8865-40-6
AU - Samadzadegan F.
AU - Saeedi S.
AU - Hosseini M.
PY - 2006
SP - 523
EP - 526
DO - 10.5220/0001378505230526