References
- Barber, D., J. Mills, and S. Smith-Voysey. 2008. Geometric validation of ground-based mobile laser scanning system. ISPRS Journal of Photogrammetry and Remote Sensing 63 (1): 128–141.
- Beaudoin, J. D, J. E Hughes Clarke, and J. E. Bartlett, 2004. Application of surface sound speed measurements in post-processing for multi-sector multibeam echosounders. International Hydrographic Review 5 (3): pp 17–3.
- Bjorke, J. T. 2005. Computation of calibration parameters for multibeam echo sounders using the least squares method. IEEE Journal of Oceanic Engineering, 30 (4): 818–831.
- Burman, H. 2000. Calibration and orientation of airborne image and laser scanner data using GPS and INS. PhD Dissertation, Royal Institute of Technology Department of Geodesy and Photogrammetry, Stockholm, Sweden.
- Deming, W. E. 1943. Statistical Adjustment of Data. New-York: Wiley.
- Filin, S. 2003. Recovery of systematic biases in laser altimetry data using natural surfaces. Photogrammetric Engineering and Remote Sensing 69 (11): 1235–1242.
- Filin, S., and G. Vosselman, 2004. Adjustment of airborne laser altimetry strips. Proceedings of the XXth ISPRS Congress: Geo-imagery Bridging Continents (ISPRS'04), 12–23 July 2004, Istanbul, Turkey. Comm. III WG III/3. pp. 258–263.
- Friess, P. 2006. Toward a rigorous methodology for airborne laser mapping. Proceedings of the International Calibration and Validation Workshop EURO COW, Castelldefels, Spain.
- Habib, A., K. Bang, A. Kersting, and J. Chow, 2010. Alternative methodologies for lidar system calibration. Remote Sensing 2 (3): 874–907.
- Hammack, J. A., D. H. Fabre, J. E. Hughes Clarke, and B. Reed, 1998. Hydrographic multibeam processing system (HMPS) swath alignment tool. Proceedings Canadian Hydrographic Conference, Victoria, p. 157–167.
- Hare, R., B. Calder, L. Alexander ,and S. Sebastian, 2004. Multibeam error management: New trends in data processing in hydrography. HYDRO International, 8 (8), 6–9.
- Hebel, M. and S. Uwe, 2012. Simultaneous calibration of als systems and alignment of multiview LiDAR scans of urban areas, IEEE Transactions on Geoscience and Remote Sensing, 50 (6), 2364–2379.
- Kumari, P., W. E. Carter, and R. L. Shrestha, 2011. Adjustment of systematic errors in ALS data through surface matching. Advances in Space Research 47: 1851–1864.
- Moniot, R. K., 2009 Deming least-squares fits to multiple hyperplanes. Applied Numerical Mathematics, 59(2009): 135–150.
- Schenk, T., 2001. Modeling and analyzing systematic errors of airborne laser scanners. Tech. Rep., Department of Civil and Environmental Engineering and Geodetic Science, The Ohio State University, Columbus, OH.
- Seube, N., S. Levilly, and R. Keyetieu. 2015. Automatic 3D borsight and latencyestimation of an IMU and MultiBeam echosounder system. Proceeding of USHydro Conference Washington DC.
- Skaloud, J., 2006. Reliability of direct georeferencing: Phase 0. Tech. Rep., Euro SDR Commission 1: Sensors, Primary Data, Acquisition and Georeferencing.
- Skaloud, J., and D. Litchi, 2006. Rigorous approach to bore-sight self-calibration in airborne laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing 61 (1): 47–59.
- Skaloud, J., and P. Shaer, 2006. Towards automated LiDAR boresight self-calibration. Proceeding of 5th International Sympsium on Mobile Mapping Technology, May 29–31, 2007.
- Smith, F. W., 1991. Estimating array misalignment errors in the Sea Beam sonar system: NOAA SBIR phase II final report, Contract 50-DKNA-9-00144.
- Wheaton, G. E. 1988. ”Patch Test”, A System Check For Multibeam Survey Systems. Proceeding of the 3rd Biennial U.S. Hydrographic Conference, April 1988.