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Y. C. Chen; Y. H. Tseng; C. Y. Hsieh; P. C. Wang; P. C. Tsai (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

Classified by OpenAIRE into

ACM Ref: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
This paper proposes an object-space multi-image matching procedure of terrestrial MMS (Mobile Mapping System) image sequences to determine the coordinates of an object point automatically and reliably. This image matching procedure can be applied to find conjugate points of MMS image sequences efficiently. Conventional area-based image matching methods are not reliable to deliver accurate matching results for this application due to image scale variations, viewing angle variations, and object occlusions. In order to deal with these three matching problems, an object space multi-image matching is proposed. A modified NCC (Normalized Cross Correlation) coefficient is proposed to measure the similarity of image patches. A modified multi-window matching procedure will also be introduced to solve the problem of object occlusion. A coarse-to-fine procedure with a combination of object-space multi-image matching and multi-window matching is adopted. The proposed procedure has been implemented for the purpose of matching terrestrial MMS image sequences. The ratio of correct matches of this experiment was about 80 %. By providing an approximate conjugate point in an overlapping image manually, most of the incorrect matches could be fixed properly and the ratio of correct matches was improved up to 98 %.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Bethel, J., 1986. The DSR11 image correlator. In Proc.
    • ACSM/ASPRS Ann. Convention, 4, pp.44-49.
    • Chen, Y.C., Tseng, Y.H., Wang, C.K., and Hsieh, C.Y., 2011.
    • Multi-image Matching of MMS Image Sequences. In Proc. 7th International Symposium on Mobile Mapping Technology, Session I, Poland.
    • Gyer, M. 1981. Automated stereo photogrammetric terrain elevation extraction. Tech. Report, Gyer and Saliba, Inc.
    • Krupnim, A. and T. Schenk, 1994. Predicting the reliability of matched points. In Proc. ACSM/ASPRS Ann. Convention, 1, pp.337-343.
    • Schenk, T., 1999. Digital Photogrammetry. TerraScience, Laurelville, pp. 246-247.
    • Wiman, H., 1998. Automatic generation of digital surface models through matching in object space. Photogrammetric Record, 16(91), pp. 83-91.
  • No related research data.
  • Discovered through pilot similarity algorithms. Send us your feedback.