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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-4-2024
https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-697-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-697-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
21 Oct 2024
| 21 Oct 2024
Ground Constrained 3D Lidar SLAM Design and Implementation
Wenwen Tian
School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China
School of Built Environment, University of New South Wales, Sydney, Australia
Puwei Yang
School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China
Chao Yang
National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan), Wuhan, China
Sisi Zlatanova
School of Built Environment, University of New South Wales, Sydney, Australia
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Short summary
Short summary
Precipitation forecasting has potential uncertainty due to data and model uncertainties. Here, an integrated predictive uncertainty modeling framework is proposed by jointly considering data and model uncertainties through an uncertainty propagation theorem. The results indicate an effective predictive uncertainty estimation for precipitation forecasting, indicating the great potential for uncertainty quantification of numerous predictive applications.
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 279–283, https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019, 2019
S. Nikoohemat, A. Diakité, S. Zlatanova, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 285–292, https://doi.org/10.5194/isprs-annals-IV-2-W5-285-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-285-2019, 2019
C. Ellul, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W7, 1–2, https://doi.org/10.5194/isprs-annals-IV-4-W7-1-2018, https://doi.org/10.5194/isprs-annals-IV-4-W7-1-2018, 2018
X. den Duijn, G. Agugiaro, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W7, 43–50, https://doi.org/10.5194/isprs-annals-IV-4-W7-43-2018, https://doi.org/10.5194/isprs-annals-IV-4-W7-43-2018, 2018
C. Ellul, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W11, 1–2, https://doi.org/10.5194/isprs-archives-XLII-4-W11-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W11-1-2018, 2018
S. Zlatanova, S. Dragicevic, and G. Sithole
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 1–3, https://doi.org/10.5194/isprs-annals-IV-4-1-2018, https://doi.org/10.5194/isprs-annals-IV-4-1-2018, 2018
T. Ghawana, M. Aleksandrov, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 49–57, https://doi.org/10.5194/isprs-annals-IV-4-49-2018, https://doi.org/10.5194/isprs-annals-IV-4-49-2018, 2018
J. Yan, A. A. Diakité, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 247–254, https://doi.org/10.5194/isprs-annals-IV-4-247-2018, https://doi.org/10.5194/isprs-annals-IV-4-247-2018, 2018
S. Zlatanova, S. Dragicevic, and G. Sithole
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 1–3, https://doi.org/10.5194/isprs-archives-XLII-4-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-1-2018, 2018
A. Alattas, P. van Oosterom, S. Zlatanova, D. Hoeneveld, and E. Verbree
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 11–23, https://doi.org/10.5194/isprs-archives-XLII-4-11-2018, https://doi.org/10.5194/isprs-archives-XLII-4-11-2018, 2018
L. Díaz-Vilariño, L. González-deSantos, E. Verbree, G. Michailidou, and S. Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 149–154, https://doi.org/10.5194/isprs-archives-XLII-4-149-2018, https://doi.org/10.5194/isprs-archives-XLII-4-149-2018, 2018
F. Fadli, N. Kutty, Z. Wang, S. Zlatanova, L. Mahdjoubi, P. Boguslawski, and V. Zverovich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 161–168, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, 2018
L. Liu, B. Li, S. Zlatanova, and H. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 373–378, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, 2018
A. A. Diakité, S. Zlatanova, and K.-J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 41–48, https://doi.org/10.5194/isprs-annals-IV-4-W5-41-2017, https://doi.org/10.5194/isprs-annals-IV-4-W5-41-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W3, 1–3, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W3, 1–3, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, 2017
L. Liu, S. Zlatanova, Q. Zhu, and K. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 343–348, https://doi.org/10.5194/isprs-annals-IV-2-W4-343-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-343-2017, 2017
B. R. Staats, A. A. Diakité, R. L. Voûte, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 393–400, https://doi.org/10.5194/isprs-annals-IV-2-W4-393-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-393-2017, 2017
M. Xu, S. Wei, S. Zlatanova, and R. Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 417–423, https://doi.org/10.5194/isprs-annals-IV-2-W4-417-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-417-2017, 2017
N. Grasso, E. Verbree, S. Zlatanova, and M. Piras
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 311–317, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, 2017
L. Díaz-Vilariño, E. Verbree, S. Zlatanova, and A. Diakité
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 345–352, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, 2017
J. Yan, N. Grasso, S. Zlatanova, R. C. Braggaar, and D. B. Marx
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 423–430, https://doi.org/10.5194/isprs-archives-XLII-2-W7-423-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-423-2017, 2017
S. Zlatanova, P. J. M. Van Oosterom, J. Lee, K.-J. Li, and C. H. J. Lemmen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W1, 257–263, https://doi.org/10.5194/isprs-annals-IV-2-W1-257-2016, https://doi.org/10.5194/isprs-annals-IV-2-W1-257-2016, 2016
S. Zlatanova, R. Laurini, M. Baucic, M. Rumor, C. Ellul, and V. Coors
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W1, 1–1, https://doi.org/10.5194/isprs-annals-IV-4-W1-1-2016, https://doi.org/10.5194/isprs-annals-IV-4-W1-1-2016, 2016
Z. Wang, S. Zlatanova, and J. Steenbruggen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W1, 45–49, https://doi.org/10.5194/isprs-annals-IV-4-W1-45-2016, https://doi.org/10.5194/isprs-annals-IV-4-W1-45-2016, 2016
E. Demir Ozbek, S. Zlatanova, S. Ates Aydar, and T. Yomralioglu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 101–108, https://doi.org/10.5194/isprs-archives-XLI-B2-101-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-101-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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