The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 407–414, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-407-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 407–414, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-407-2020

  06 Aug 2020

06 Aug 2020

WAVELETS FOR SELF-CALIBRATED BUNDLE BLOCK ADJUSTMENT

J.-F. Ye and J.-R. Tsay J.-F. Ye and J.-R. Tsay
  • Dept. of Geomatics, National Cheng Kung University, Taiwan

Keywords: bundle block adjustment, additional parameters, wavelets, function approximation, image distortion, photogrammetry, self-calibration

Abstract. This paper entails a methodological novelty and builds upon prior research on a wavelets-based model for digital camera self-calibration. We introduce a new kernel function based on the compactly supported orthogonal third-order asymmetric Daubechies wavelet to correct systematic image distortion errors. Tests are done by using aerial images taken with a high-resolution metric digital aerial mapping camera. The quality of experimental results is evaluated by using reliable and high precision ground check points in the calibration field. For example, a four-fold block with this wavelet self-calibration model has the external accuracy of about 0.28 GSD (=ground sampling distance) in the horizontal direction, and about 0.43 GSD in the vertical direction, respectively, where 1GSD ≈ 4.6cm. The posterior standard deviations σ̂0 of unit weight are reduced from 0.37 pixel to 0.27 pixel. The residual vector lengths are also significantly reduced after our wavelet additional parameters are used. Experimental results support the proposal and demonstrate the applicability of this new model.