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Ok, A.O. [Author]; Wegner, J.D. [Author]; Heipke, Christian [Author]; Rottensteiner, Franz [Author]; Sörgel, Uwe [Author]; Toprak, V. [Author]; Paradotitis, N. [Author]; Pierrot-Deseilligny, M. [Author]; Mallet, C. [Author]; Tournaire, O. [Author]

A new straight line reconstruction methodology from multi-spectral stereo aerial images - [published Version]

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  • Media type: E-Article; Text
  • Title: A new straight line reconstruction methodology from multi-spectral stereo aerial images
  • Contributor: Ok, A.O. [Author]; Wegner, J.D. [Author]; Heipke, Christian [Author]; Rottensteiner, Franz [Author]; Sörgel, Uwe [Author]; Toprak, V. [Author]; Paradotitis, N. [Author]; Pierrot-Deseilligny, M. [Author]; Mallet, C. [Author]; Tournaire, O. [Author]
  • Published: London : International Society for Photogrammetry and Remote Sensing, 2010
  • Published in: ISPRS Technical Commission III Symposium. PCV 2010 - Photogrammetric Computer Vision and Image Analysis ; The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 38 Part 3A
  • Issue: published Version
  • Language: English
  • DOI: https://doi.org/10.15488/1411
  • ISSN: 1682-1750
  • Keywords: Aerial images ; Stereo image processing ; Photogrammetry ; Multi-spectral ; Konferenzschrift ; Urban growth ; Straight line extraction ; Stereo matching ; Image reconstruction ; Stereo aerial images ; Pair-wise line matching ; Computer vision ; Straight-line segments ; Straight line extractions ; Line reconstruction ; Image processing ; Pre-processing ; Image analysis ; Line-matching ; Line correspondence ; Edge detection ; Principal component analysis
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  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: In this study, a new methodology for the reconstruction of line features from multispectral stereo aerial images is presented. We take full advantage of the existing multispectral information in aerial images all over the steps of pre-processing and edge detection. To accurately describe the straight line segments, a principal component analysis technique is adapted. The line to line correspondences between the stereo images are established using a new pair-wise stereo matching approach. The approach involves new constraints, and the redundancy inherent in pair relations gives us a possibility to reduce the number of false matches in a probabilistic manner. The methodology is tested over three different urban test sites and provided good results for line matching and reconstruction.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)