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 language | English |
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Pages (from-to) | 407-414 |
Number of pages | 8 |
Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
Volume | 43 |
Issue number | B1 |
DOIs | |
Publication status | Published - 2020 Aug 6 |
Event | 2020 24th ISPRS Congress - Technical Commission I - Nice, Virtual, France Duration: 2020 Aug 31 → 2020 Sept 2 |
All Science Journal Classification (ASJC) codes
- Information Systems
- Geography, Planning and Development