On the detection of systematic errors in terrestrial laser scanning data
-
Jin Wang
,
Hansjoerg Kutterer
Abstract.
Quality descriptions are parts of the key tasks of geodetic data processing. Systematic errors should be detected and avoided in order to insure the high quality standards required by structural monitoring. In this study, the iterative closest point (ICP) method was invested to detect systematic errors in two overlapping data sets. There are three steps to process the systematic errors: firstly, one of the data sets was transformed to a reference system by the introduction of the Gauss–Helmert (GH) model. Secondly, quadratic form estimation and segmentation methods are proposed to guarantee the overlapping data sets. Thirdly, the ICP method was employed for a finer registration and detecting the systematic errors. A case study was casted in which a dam surface in Germany was scanned by terrestrial laser scanning (TLS) technology. The results indicated that with the conjugation of ICP algorithm the accuracy of the data sets was improved approximately by 1.6 mm.
© 2012 by Walter de Gruyter Berlin Boston
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- Masthead
- Editorial: Special Issue on Deformation Monitoring
- Model selection for system identification by means of artificial neural networks
- Adjustment of highly non-linear redundant systems of equations using a numerical, topology-based approach
- Optimized Kalman filter versus rigorous method in deformation analysis
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- Velocity estimation of GPS base stations considering the coloured noises
- Spectral analysis of structural deformation – A case study
- Ambient vibration monitoring of slender structures by microwave interferometer remote sensing
- A 3-d laser scanning system and scan data processing method for the monitoring of tunnel deformations
- On the detection of systematic errors in terrestrial laser scanning data
- Point-based and plane-based deformation monitoring of indoor environments using terrestrial laser scanners
- Recurring mass movements on the Danube's bank at Dunaszekcső (Hungary) observed by geodetic methods
- Monitoring ground subsidence in Shanghai maglev area using two kinds of SAR data
- Monitoring of surface deformation in Dangxiong using PSInSAR technique
- IAG Commission 4: Mission and contributions to observing and modeling dynamic earth
