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A method for local approximation of a planar deformation field

in this work), but this will require a variance–covariance propagation from transformation parameters to geometric parameters (shown hereafter). The local affine transformations are weighted, in this work, by means of inverse distance squared between each grid point (new point) and observed points (nearest neighbors). It is easy to notice that the deformation gradient and its polar decomposition in the affine transformation case read (compare to the right hand side of eq. (9)) : (10) F = [ a b c d ] = R U = [ cos   φ − sin   φ sin   φ cos   φ

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Concept of AHRS Algorithm Designed for Platform Independent Imu Attitude Alignment

References Cui, X., Mei, C., Qin, Y., Yan, G., & Fu, Q. (2017). In-motion alignment for low-cost SINS/GPS under random misalignment angles. Journal of Navigation, 1-17. doi: 10.1017/S037346331700039X Emami, M., & Taban, M. R. (2017). A customized H-infinity algorithm for underwater navigation system: With experimental evaluation. Ocean Engineering, 130(Supplement C), 611 - 619. Retrieved from http://www.sciencedirect.com/science/article/pii/S0029801816305996 doi: https://doi.org/10.1016/j.oceaneng.2016

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Verification of the Polish Geodetic Reference Frame by Means of a New Solution Based on Permanent GNSS Data from the Years 2011-2014

References Altamimi, Z., P. Sillard, C. Boucher (2002), ITRF2000: A New Release of the International Terrestrial Reference Frame for Earth Science Applications , J. Geophys. Res., 107(B10), 2214. Altamimi, Z., Collilieux, X., Métivier, L. (2011), ITRF2008: an improved solution of the international terrestrial reference frame . J Geod (2011) 85: 457. doi:10.1007/s00190-011-0444-4 Boucher, C., Z. Altamimi (2011), Memo: Specifications for reference frame fixing in the analysis of a EUREF GPS campaign , http://etrs89.ensg.ign.fr . Bruyninx

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The Possibilities of Using the Terrestrial Scanning Data for Classification of Rocks in Limestone Mine “Czatkowice”

). Correction of Laser Scanning intensity data: Data and model-driven approaches. International Journal of Photogrammetry and Remote Sensing. 62(6), 415–433. doi: 10.1016/j. isprsjprs. 2007.05.008 Maciaszek, J., Ćwiąkała, P. (2010). Badania możliwości zastosowania skanowania laserowego do monitoringu osuwisk zboczy wyrobisk odkrywkowych na przykładzie KWB,, Bełchatów ”. Przegląd Górniczy, 66 (6), 52–57. Retrieved from http://www.sitg.pl/starastr/pg/PG_06_2010.pdf Penasa, L., Franceschi, M., Preto, N., Teza, G., Polito, V., (2014). Integration of intensity textures and

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Towards Reliable Velocities of Permanent GNSS Stations

References Agnew, D.C. (1992). The time-domain behaviour of power-law noises. Geophysical Research Letters, 19(4), pp. 333-336. Agnew, D.C., & Larson K.M. (2007). Finding the repeat times of the GPS constellation. GPS Solutions, 11(1), pp. 71-76, doi:10.1007/s10291-006-0038-4. Altamimi, Z., Collilieux, X., & Metivier, L. (2011). ITRF2008: an improved solution of the international terrestrial reference frame. Journal of Geodesy, vol. 85, pp. 457-473, DOI: 10.1007/s00190-011-0444-4. Amiri

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Geodynamic Research at the Department of Planetary Geodesy, SRC PAS

deconvolution filter, Proc. Journées 2013 Systèmes de référence spatio-temporels, N. Capitaine (ed.), Observatoire de Paris, 189-192. Chen J.L., and Wilson C.R. (2005), Hydrological excitation of polar motion, 1993-2002, Geophys. J. Int, 160, 833-839, doi:10.1029/2003GL018688. Cmielewski K., (2015). A new concept explored in the Geodynamic Laboratory of the Space Research Center in Ksiaz" , Acta Geodyn. Geomater., vol. 12, No. 2 (178) Barrodale I. and Erickson R. E., (1980). Algorithms for least-squares linear prediction and

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Kinematics of Reference Height Network on the Territory of Rivne Npp

References Acton, J. M. & Hibbs, M. (2012). Why Fukushima Was Preventable; Carnegie Endowment for International Peace: Washington, D.C. - 43p. Ashraf, A. Beshr. (2010). Development and improvement of technologies of determination of deformations of engineering structures using modern highprecision geodetic methods and means of change. The dissertation of the candidate of technical sciences: 25.00.32 / Ashraf Abdel Abdel Mawla Vanis Beshr; [Defense Place: Sib. Reg. geodesy. Acad.]. - Novosibirsk. - 205p. Baran, P

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A Webgis Framework for Disseminating Processed Remotely Sensed on Land Cover Transformations

). The Medalus Project: Mediterranean Desertification and Land Use: Manual on Key Indicators of Desertification and Mapping Environmentally Sensitive Areas to Desertification: Directorate-General Science, Research and Development. Ladisa, G., Todorovic, M., & Trisorio Liuzzi, G. (2012). A GIS-based approach for desertification risk assessment in Apulia region, SE Italy. Physics and Chemistry of the Earth, Parts A/B/C, 49, 103-113. doi: http://dx.doi.org/10.1016/j.pce.2011.05.007 Lam, D. K., Remmel, T. K., & Drezner, T. D. (2010

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High-energy seismic events in Legnica–Głogów Copper District in light of ASG-EUPOS data

values of particular peaks is sometimes more than three times. What’s more, the results of statistical analysis provide small values of errors of estimated parameters. For example, errors amounted to values, which are less one or two orders as it is in the case of X c . As it is presented in Fig. 10 , the positive and negative peaks outline the stress variation in time and very small value trend is noticeable – in the main compressions slightly increase in time. Interlaced negative and positive peaks demonstrated just increases of compressions and decreases of

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Urban area change visualization and analysis using high density spatial data from time series aerial images

Journal of Photogrammetry and Remote Sensing 55 5-6 359 372 10.1016/S0924-2716(01)00025-9 Altuntas, C. (2013). Keypoint based automatic image orientation and skew investigation on tie points. Kybernetes 42(3):506–520, 10.1108/03684921311323725 Altuntas C. 2013 Keypoint based automatic image orientation and skew investigation on tie points Kybernetes 42 3 506 520 10.1108/03684921311323725 Altuntas, C. (2014). The effect of point density on the registration accuracy of a terrestrial laser scanning dataset. Lasers in Engineering 28

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