Wavelets for self-calibrated bundle block adjustment

Jun Fu Ye, Jaan Rong Tsay

Research output: Contribution to journalConference articlepeer-review

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 (Combining double low lineground sampling distance) in the horizontal direction, and about 0.43 GSD in the vertical direction, respectively, where 1GSD & 4.6cm. The posterior standard deviations σ& 0 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.

Original languageEnglish
Pages (from-to)407-414
Number of pages8
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume43
Issue numberB1
DOIs
Publication statusPublished - 2020 Aug 6
Event2020 24th ISPRS Congress - Technical Commission I - Nice, Virtual, France
Duration: 2020 Aug 312020 Sep 2

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Geography, Planning and Development

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