The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 673–679, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-673-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 673–679, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-673-2021

  28 Jun 2021

28 Jun 2021

BUNDLE ADJUSTMENT WITH POLYNOMIAL POINT-TO-CAMERA DISTANCE DEPENDENT CORRECTIONS FOR UNDERWATER PHOTOGRAMMETRY

E. Nocerino1, F. Menna2, and A. Gruen3 E. Nocerino et al.
  • 1Aix Marseille University, CNRS, ENSAM, Université De Toulon, LIS UMR 7020, 13397 Marseille, France
  • 23D Optical Metrology (3DOM) Unit, Bruno Kessler Foundation (FBK), Trento, Italy
  • 3c/o Institute of Theoretical Physics, ETH Zurich, Zurich, Switzerland

Keywords: underwater photogrammetry, systematic error compensation, image residual corrections, accuracy evaluation, simulations

Abstract. Uncontrolled refraction of optical rays in underwater photogrammetry is known to reduce its accuracy potential. Several strategies have been proposed aiming at restoring the accuracy to levels comparable with photogrammetry applied in air. These methods are mainly based on rigours modelling of the refraction phenomenon or empirical iterative refraction corrections. The authors of this contribution have proposed two mitigation strategies of image residuals systematic patterns in the image plane: (i) empirical weighting of image observations as function of their radial position; (ii) iterative look-up table corrections computed in a squared grid. Here, a novel approach is developed. It explicitly takes into account the object point-to-camera distance dependent error introduced by refraction in multimedia photogrammetry. A polynomial correction function is iteratively computed to correct the image residuals clustered in radial slices in the image plane as function of the point-to-camera distance. The effectiveness of the proposed method is demonstrated by simulations that allow to: (i) separate the geometric error under investigation from other effects not easily modellable and (ii) have reliable reference data against which to assess the accuracy of the result.