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SELECTION OF OPTIMAL STRATEGY FOR DSM GENERATION FROM MULTI-VIEW DENSE IMAGE MATCHING

Dominik, Wojciech

First published: 2015https://doi.org/10.5593/sgem2015/b21/s10.144View metrics

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Title
SELECTION OF OPTIMAL STRATEGY FOR DSM GENERATION FROM MULTI-VIEW DENSE IMAGE MATCHING
Authors
Dominik, Wojciech
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2015
Pages
1127-1134
ISSN
1314-2704
ISBN
978-619-7105-34-6
Language
en
Publication type
Conference Paper
References24

  1. Remondino, F., Spera, M. G., Nocerino, E., Menna, F., & Nex, F. State of the art in high density image matching. The Photogrammetric Record, 29(146), 144-166, 2014.

  2. Haala N. The Landscape of Dense Image Matching Algorithms, Photogrammetric Week 2013 (Ed. D. Fritsch), Germany, 2013.

  3. Hirschmuller, H. Stereo processing by semi-global matching and mutual information IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(2), 328-341, 2008 .

  4. Seitz, S. M., Curless, B., Diebel, J., Scharstein, D., & Szeliski, R. A comparison and evaluation of multi-view stereo reconstruction algorithms. In Proceedings of the IEEE conference on computer vision and pattern recognition (Vol. 1, pp. 519– 526), 2006.

  5. Heinrichs, M., Hellwich, O. & Rodehorst, V. Efficient Semi-Global Matching for trinocular stereo. Photogrammetric Image Analysis PIA'07, Munich, 2007 .

  6. Irschara, A., Rumpler, M., Meixner, P., Pock, T., & Bischof, H. Efficient and globally optimal multi view dense matching for aerial images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012.

  7. Bethmann, F., & Luhmann, T. Object-based multi-image semi-global matching — concept and first results. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. , 10(5), 93-100, 2014.

  8. Gehrke, S., Downey, M., Uebbing, R., Welter, J., & LaRocque, W. A multi-sensor approach to semi-global matching. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39, B3, 2012.

  9. Rothermel M., Wenzel K., Fritsch D. & Haala N. SURE: Photogrammetric Surface Reconstruction from Imagery, Proceedings LC3D Workshop, Germany, 2012.

  10. Haala N. Multiray Photogrammetry and Dense Image Matching. Photogrammetric Week 2011, Wichmann Verlag, Berlin/Offenbach, pp. 185-195, Germany, 2011.

  11. Dominik, W. Assessment of the Influence of Aerial Image Radiometry on the Quality of Point Clouds Generated by Semi-Global Matching. SGEM2014 Conference Proceedings, Vol. 3, 43-54, 2014.

  12. Dominik, W. Comparison of Point Clouds Derived From Aerial Image Matching With Data From Airborne Laser Scanning. Archives of Photogrammetry, Cartography and Remote Sensing, vol. 26, 2014. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  13. Remondino, F., Spera, M. G., Nocerino, E., Menna, F., & Nex, F. State of the art in high density image matching. The Photogrammetric Record, 29(146), 144-166, 2014.

  14. Haala N. The Landscape of Dense Image Matching Algorithms, Photogrammetric Week 2013 (Ed. D. Fritsch), Germany, 2013.

  15. Hirschmuller, H. Stereo processing by semi-global matching and mutual information IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(2), 328-341, 2008 .

  16. Seitz, S. M., Curless, B., Diebel, J., Scharstein, D., & Szeliski, R. A comparison and evaluation of multi-view stereo reconstruction algorithms. In Proceedings of the IEEE conference on computer vision and pattern recognition (Vol. 1, pp. 519– 526), 2006.

  17. Heinrichs, M., Hellwich, O. & Rodehorst, V. Efficient Semi-Global Matching for trinocular stereo. Photogrammetric Image Analysis PIA'07, Munich, 2007 .

  18. Irschara, A., Rumpler, M., Meixner, P., Pock, T., & Bischof, H. Efficient and globally optimal multi view dense matching for aerial images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012.

  19. Bethmann, F., & Luhmann, T. Object-based multi-image semi-global matching — concept and first results. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. , 10(5), 93-100, 2014.

  20. Gehrke, S., Downey, M., Uebbing, R., Welter, J., & LaRocque, W. A multi-sensor approach to semi-global matching. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39, B3, 2012.

  21. Rothermel M., Wenzel K., Fritsch D. & Haala N. SURE: Photogrammetric Surface Reconstruction from Imagery, Proceedings LC3D Workshop, Germany, 2012.

  22. Haala N. Multiray Photogrammetry and Dense Image Matching. Photogrammetric Week 2011, Wichmann Verlag, Berlin/Offenbach, pp. 185-195, Germany, 2011.

  23. Dominik, W. Assessment of the Influence of Aerial Image Radiometry on the Quality of Point Clouds Generated by Semi-Global Matching. SGEM2014 Conference Proceedings, Vol. 3, 43-54, 2014.

  24. Dominik, W. Comparison of Point Clouds Derived From Aerial Image Matching With Data From Airborne Laser Scanning. Archives of Photogrammetry, Cartography and Remote Sensing, vol. 26, 2014. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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