The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 533–539, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-533-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 533–539, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-533-2020

  12 Aug 2020

12 Aug 2020

GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION

H. Yi1, X. Chen1, D. Wang1, S. Du1, B. Xu1, and D. Wang2 H. Yi et al.
  • 1Academic of Space Information, Space Engineering University, 101416 Beijing, China
  • 2Beijing Satellite Navigation Center, Beijing, China

Keywords: Geometric Quality, Evaluation Method, Multi-view Satellite Image, 3D Reconstruction, RFM, Projection Trajectory, Deviation Coefficient

Abstract. The quality of the 3D model reconstructed using multi-view satellite image depends on the quality of the image. To evaluate the geometric quality of the satellite image, we proposed a method to evaluate the geometric distortion for satellite images and defined the deviation coefficient as a metric to evaluate the bending degree of a curve. After projecting a ground grid consisting of straight lines into the image space, the geometric distortion of the image can be evaluated quantitatively by calculating the deviation coefficients of the projection trajectories. Experiments have been carried out with three datasets obtained by JiLin-1, GaoFen-2, and WorldView-3 respectively. The results show that the proposed method can used to evaluate the geometric quality of satellite images effectively, and this evaluation method will be useful in image selecting in 3D reconstruction using multi-view satellite images.