The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-3/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W1, 27–31, 2014
https://doi.org/10.5194/isprsarchives-XL-3-W1-27-2014
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W1, 27–31, 2014
https://doi.org/10.5194/isprsarchives-XL-3-W1-27-2014

  05 Mar 2014

05 Mar 2014

MULTI-SCALE MATCHING FOR THE AUTOMATIC LOCATION OF CONTROL POINTS IN LARGE SCALE AERIAL IMAGES USING TERRESTRIAL SCENES

A. Berveglieri1 and A. M. G. Tommaselli2 A. Berveglieri and A. M. G. Tommaselli
  • 1Graduate Program in Cartographic Sciences, Univ Estadual Paulista – UNESP, Faculty of Science and Technology, Presidente Prudente, Brazil
  • 2Department of Cartography, Univ Estadual Paulista – UNESP, Faculty of Science and Technology, Presidente Prudente, Brazil

Keywords: adilsonberveg@gmail.com

Abstract. A technique to automatically locate Ground Control Points (GCPs) in large aerial images is presented considering the availability of low accuracy direct georeferencing data. The approach is based on image chips of GCPs extracted from vertical terrestrial images. A strategy combining image matching techniques was implemented to select correct matches. These matches were used to define a 2D transformation with which the GCP is projected close to its correct position, reducing the search space in the aerial image. Area-based matching with some refinements is used to locate GCPs with sub-pixel precision. Experiments were performed with multi-scale images and assessed with a bundle block adjustment simulating an indirect sensor orientation. The accuracy analysis was accomplished based on discrepancies obtained from GCPs and check points. The results were better than interactive measurements and a planimetric accuracy of 1/5 of the Ground Sample Distance (GSD) for the check points was achieved.