Uncontrolled positioning of large-scale image with reference to geographic data

doi:10.13474/j.cnki.11-2246.2020.0241

Abstract

Abstract: Aiming at the problems of low efficiency and high cost of acquiring control points manually by traditional photogrammetric image positioning, this paper proposes a method for uncontrolled positioning of large-scale images with reference geographic data. Firstly, it uses the classic SIFT algorithm to extract feature points with control information from the reference geographic data (DEM and DOM). Secondly, it registers DSM obtained through POS to geographic coordinates of DEM, which is morphologically filtered in order to extract and remove the matching points in areas where the elevation changes drastically due to buildings, trees and so on,so as to reduce the correction error. Finally, it corrects and locates the image. The experiments show that the proposed method in this paper can meet the positioning accuracy requirements of large-scale aerial image production. Also, this method shows the advantages of efficient production and resource saving.

Key words: photogrammetry, reference geographic data, image matching, uncontrolled positioning, large scale, image correction

CLC Number:

P237

LIU Yan, YANG Shuwen, XUE Li, ZHAO Lijiang. Uncontrolled positioning of large-scale image with reference to geographic data[J]. Bulletin of Surveying and Mapping, 2020, 0(8): 18-22,27.

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