Zeige Ergebnisse 151 - 180 von 615
2019
Vogel, S., Alkhatib, H., Bureick, J., Moftizadeh, R., & Neumann, I. (2019). Georeferencing of Laser Scanner-Based Kinematic Multi-Sensor Systems in the Context of Iterated Extended Kalman Filters Using Geometrical Constraints. Sensors (Basel, Switzerland), 19(10). https://doi.org/10.3390/s19102280, https://doi.org/10.15488/10494
Voß, W., & Bakker, K. (2019). Geospatial information to support real estate valuation. Beitrag in FIG Working Week 2019 , Hanoi, Vietnam. https://www.fig.net/resources/proceedings/fig_proceedings/fig2019/papers/ts08i/TS08I_voss_bakker_9991_abs.pdf
Wieser, A., Paffenholz, J.-A., & Neumann, I. (2019). Sensoren, Features und Physik: Zum aktuellen Stand der Entwicklung bei Laserscannern. In Terrestrisches Laserscanning 2019 (TLS 2019): Beiträge zum 184. DVW-Seminar am 2. und 3. Dezember 2019 in Fulda (S. 9-22). (DVW-Schriftenreihe; Band 96). Wissner Verlag. https://geodaesie.info/images/schriftenreihe/downloads/DVW_96_2019_TLS_2019_FINAL_191127.pdf
Xu, X., & Yang, H. (2019). Intelligent crack extraction and analysis for tunnel structures with terrestrial laser scanning measurement. Advances in Mechanical Engineering, 11(9). https://doi.org/10.1177/1687814019872650, https://doi.org/10.15488/8814
Xu, W., Xu, X., Yang, H., & Neumann, I. (2019). Optimized finite element analysis model based on terrestrial laser scanning data. Composite structures, 207, 62-71. https://doi.org/10.1016/j.compstruct.2018.09.006
Xu, X., Yang, H., & Kargoll, B. (2019). Robust and automatic modeling of tunnel structures based on terrestrial laser scanning measurement. International Journal of Distributed Sensor Networks, 15(11). https://doi.org/10.1177/1550147719884886, https://doi.org/10.15488/10180
Yang, H., Xu, X., Kargoll, B., & Neumann, I. (2019). An automatic and intelligent optimal surface modeling method for composite tunnel structures. Composite structures, 208, 702-710. https://doi.org/10.1016/j.compstruct.2018.09.082
Yang, H., Xu, X., & Neumann, I. (2019). An automatic finite element modelling for deformation analysis of composite structures. Composite Structures, 212, 434-438. https://doi.org/10.1016/j.compstruct.2019.01.047
Yang, H., & Xu, X. (2019). Multi-sensor technology for B-spline modelling and deformation analysis of composite structures. Composite Structures, 224, Artikel 111000. https://doi.org/10.1016/j.compstruct.2019.111000
Zhang, Y., Gomes, A. T., Beer, M., Neumann, I., Nackenhorst, U., & Kim, C. W. (2019). Modeling asymmetric dependences among multivariate soil data for the geotechnical analysis: The asymmetric copula approach. Soils and foundations, 59(6), 1960-1979. https://doi.org/10.1016/j.sandf.2019.09.001
Zhao, X. F., Kermarrec, G., Kargoll, B., Alkhatib, H., & Neumann, I. (2019). Influence of the simplified stochastic model of TLS measurements on geometry-based deformation analysis. Journal of Applied Geodesy, 13(3), 199-214. https://doi.org/10.1515/jag-2019-0002
Zhou, X. (2019). Terrestrial Laser Scanning Data Analysis for Deformation Monitoring. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover]. Leibniz Universität Hannover.
2018
Alkhatib, H., Kargoll, B., & Paffenholz, J.-A. (2018). Further results on robust multivariate time series analysis in nonlinear models with autoregressive and t-distributed errors. In I. Rojas , H. Pomares , & O. Valenzuela (Hrsg.), International Work-Conference on Time Series Analysis: ITISE 2017, Contributions to Statistics (S. 25-38) https://doi.org/10.1007/978-3-319-96944-2_3
Alkhatib, H., Kargoll, B., Neumann, I., & Kreinovich, V. (2018). Normalization-Invariant Fuzzy Logic Operations Explain Empirical Success of Student Distributions in Describing Measurement Uncertainty. In Fuzzy Logic in Intelligent System Design (Band 648, S. 300-306). (Advances in Intelligent Systems and Computing; Band 648). Springer Verlag. https://doi.org/10.1007/978-3-319-67137-6_34
Alkhatib, H., Kargoll, B., Bureick, J., & Paffenholz, J.-A. (2018). Statistical evaluation of the B-Splines approximation of 3D point clouds. In FIG Congress 2018: Embracing our smart world where the continents connect: enhancing the geospatial maturity of societies FIG.
Becker, T., Frank, J., Schaffert, M., & Wenger, F. C. (2018). Die Steinburger Elbmarschen aus Akteurssicht. Von Landschaftsbesonderheiten und Lieblingsorten. In Die Steinburger Elbmarschen aus Akteurssicht. Von Landschaftsbesonderheiten und Lieblingsorten: Kulturlandschaftswandel in den Steinburger Elbmarschen (S. 77-92)
Becker, T., & Schaffert, M. (2018). Im Auge des Betrachters. Ergänzung von rechnergestützten Kulturlandschaftsanalysen durch lokale Akteure. IALE-D Jahrestagung 2018, Hannover.
de Vries, W. T., & Voß, W. (2018). Economic Versus Social Values in Land and Property Management: TwoSides of the Same Coin? Raumforschung und Raumordnung, 76(5), 381-394. https://doi.org/10.1007/s13147-018-0557-9, https://doi.org/10.15488/10336
Hartmann, J., Trusheim, P., Alkhatib, H., Paffenholz, J. A., Diener, D., & Neumann, I. (2018). High Accurate Pointwise (GEO-)Referencing Of A K-TLS Based Multi-Sensor-System. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-4, 81-88. https://doi.org/10.5194/isprs-annals-IV-4-81-2018, https://doi.org/10.15488/5006
Hartmann, J., Neumann, I., Geist, M., Gierschner, F., Kenneweg, R. J., Dittrich, M.-A., Böß, V., & Hesse, C. (2018). Optimierung des Materialauftrags an Megayachten. ZFV - Zeitschrift fur Geodasie, Geoinformation und Landmanagement, 2018(6), 384-389.
Hesse, C., Willemsen, T., Leitz, S., Neumann, I., Wodniok, J., Hake, F., & Lippmann, G. (2018). Durchführung von interdisziplinären Monitoringprojekten in der Praxis – Ergebnisse und Erfahrungen. In W. Busch (Hrsg.), Tagungsband GeoMonitoring 2018 (S. 193 - 208).
Kany, C., Klein, U., Osterhold, M., Riecken, J., Sandmann, S., Schaffert, M., Schön, B., & Seuß, R. (2018). Wert von Geoinformation. ZFV - Zeitschrift fur Geodasie, Geoinformation und Landmanagement, 143(6). https://doi.org/10.12902/zfv-0238-2018
Kargoll, B., Alkhatib, H., Omidalizarandi, M., & Schuh, W.-D. (2018). Further Results on a Modified EM Algorithm for Parameter Estimation in Linear Models with Time-Dependent Autoregressive and t-Distributed Errors. In I. Rojas , H. Pomares , & O. Valenzuela (Hrsg.), International Work-Conference on Time Series Analysis: ITISE 2017: Time Series Analysis and Forecasting, Contributions to Statistics (S. 323-337) https://doi.org/10.1007/978-3-319-96944-2_22
Kargoll, B. (2018). Mathematical Foundations for Probabilistic and Fuzzy Data Analysis (Version: 8. November 2018).
Kermarrec, G., Ren, L., & Schön, S. (2018). On filtering ionospheric effects in GPS observations using the Matérn covariance family and its impact on orbit determination of Swarm satellites. GPS Solutions, 22(3), Artikel 66. https://doi.org/10.1007/s10291-018-0733-y
Kermarrec, G., Alkhatib, H., & Neumann, I. (2018). On the Sensitivity of the Parameters of the Intensity-Based Stochastic Model for Terrestrial Laser Scanner: Case Study: B-Spline Approximation. Sensors (Switzerland), 18(9), Artikel 2964. https://doi.org/10.3390/s18092964, https://doi.org/10.15488/4166
Kersten, T., & Paffenholz, J.-A. (2018). Zur Bewertung von High Sensitivity GNSS-Empfängern bei der Kombination in Multi-Sensor-Systemen. Postersitzung präsentiert bei POSNAV ITS 2018. Vorabveröffentlichung online. https://doi.org/10.15488/3945
Köhler, T., Weitkamp, A., & Alkhatib, H. (2018). Quantifying Spatial Spillover Effects of Urban Restructuring. In E. Hepperle, J. Paulsson, V. Maliene, R. Mansberger, A. Lisec, & S. Guelton (Hrsg.), Opportunities and Constraints of Land Management in Local and Regional Development (S. 99-107). vdf Hochschulverlag AG an der ETH Zürich. https://doi.org/10.3218/3928-3
Landmann, J., Ongsiek, T., Goseberg, N. R., Heasman, K., Buck, B. H., Paffenholz, J.-A., & Hildebrandt, A. (2018). Investigating drag and inertia characteristics of full-scale blue mussel dropper lines. Beitrag in 7th International Conference on the Application of Physical Modelling in Coastal and Port Engineering and Science, Santander, Spanien. https://www.researchgate.net/publication/325344871_Investigating_drag_and_inertia_characteristics_of_full-scale_blue_mussel_dropper_lines
Loth, I., Schuh, W.-D., & Kargoll, B. (2018). The “Magic Square” of stochastic processes. IX Hotine-Marussi-Symposium, Rom, Italien.
