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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-1/W2-2023
https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-27-2023
© Author(s) 2023. 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-1-W2-2023-27-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
13 Dec 2023
| 13 Dec 2023
DETECTION AND SEGMENTATION OF POLE-LIKE OBJECTS IN MOBILE LASER SCANNING POINT CLOUDS
A. Nurunnabi
Geodesy and Geospatial Engineering, Faculty of Science, Technology and Medicine, University of Luxembourg, Luxembourg
Institute for Advanced Studies (IAS), University of Luxembourg, Luxembourg
Y. Sadahiro
Interfaculty Initiative in Information Studies, The University of Tokyo, Japan
F. N. Teferle
Geodesy and Geospatial Engineering, Faculty of Science, Technology and Medicine, University of Luxembourg, Luxembourg
Institute for Advanced Studies (IAS), University of Luxembourg, Luxembourg
D. F. Laefer
Center for Urban Science and Progress and Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, NY, USA
J. Li
Geography and Environmental Management, University of Waterloo, Waterloo, Canada
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 181–187, https://doi.org/10.5194/isprs-archives-XLII-2-W13-181-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-181-2019, 2019
A. V. Vo, N. Chauhan, D. F. Laefer, and M. Bertolotto
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 671–678, https://doi.org/10.5194/isprs-archives-XLII-4-671-2018, https://doi.org/10.5194/isprs-archives-XLII-4-671-2018, 2018
F. Chen, S. Lou, Q. Fan, J. Li, C. Wang, and M. Claverie
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2619–2624, https://doi.org/10.5194/isprs-archives-XLII-3-2619-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2619-2018, 2018
A. Nurunnabi, Y. Sadahiro, and R. Lindenbergh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 63–70, https://doi.org/10.5194/isprs-archives-XLII-1-W1-63-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-63-2017, 2017
Anna Klos, Addisu Hunegnaw, Felix Norman Teferle, Kibrom Ebuy Abraha, Furqan Ahmed, and Janusz Bogusz
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2016-385, https://doi.org/10.5194/amt-2016-385, 2016
Revised manuscript not accepted
Short summary
Short summary
GPS can remotely sense integrated atmospheric water vapour and in-doing so improve e.g. the accuracy of assimilated numerical weather models. Specially, GPS is well suited in the study of the atmospheric conditions since it is increasingly deployed ever widely around the globe. In this research, we used trend estimates of Zenith Total Delay series and provide a most recent picture of trend and their uncertainties which are used widely to interpret a change in climate.
Tzvetan Simeonov, Dmitry Sidorov, Felix Norman Teferle, Georgi Milev, and Guergana Guerova
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2016-152, https://doi.org/10.5194/amt-2016-152, 2016
Revised manuscript not accepted
Weihong Cui, Guofeng Wang, Chenyi Feng, Yiwei Zheng, Jonathan Li, and Yi Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 195–203, https://doi.org/10.5194/isprs-archives-XLI-B7-195-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-195-2016, 2016
Shanxin Zhang, Cheng Wang, Zhuang Yang, Yiping Chen, and Jonathan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 615–619, https://doi.org/10.5194/isprs-archives-XLI-B5-615-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-615-2016, 2016
Yuenan Li, Jianjun Wang, Cheng Chen, Yifei Chen, and Jonathan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 721–727, https://doi.org/10.5194/isprs-archives-XLI-B2-721-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-721-2016, 2016
Yifei Chen, Yuenan Li, and Jonathan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 695–702, https://doi.org/10.5194/isprs-archives-XLI-B2-695-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-695-2016, 2016
Haocheng Zhang, Jonathan Li, Ming Cheng, and Cheng Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 717–723, https://doi.org/10.5194/isprs-archives-XLI-B1-717-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-717-2016, 2016
Xinqu Chen and Jonathan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 545–549, https://doi.org/10.5194/isprs-archives-XLI-B1-545-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-545-2016, 2016
H. Yan, Z. Wang, and J. Li
Geosci. Model Dev., 6, 1591–1599, https://doi.org/10.5194/gmd-6-1591-2013, https://doi.org/10.5194/gmd-6-1591-2013, 2013
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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