- Article
(946 KB) - Metadata XML
- June 30, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-4
https://doi.org/10.5194/isprs-archives-XLII-4-697-2018
© Author(s) 2018. 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-XLII-4-697-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
19 Sep 2018
| 19 Sep 2018
A NEW HIERARCHICAL CLUSTERING APPROACH FOR SPARSE MOBILE PHONE TRAJECTORIES
W. Wang
Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518040, China
Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services and Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Z. Luan
Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services and Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
College of Civil Engineering, Shenzhen University, Shenzhen 518060, China
B. He
Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518040, China
Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services and Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
X. Li
Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518040, China
Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services and Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
D. Zhang
School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China
Z. Huang
Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services and Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China
W. Tu
Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518040, China
Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services and Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen 518060, China
Related authors
No articles found.
Ruizhe Chen, Wei Tu, Qingquan Li, Zhipeng Chen, and Bochen Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 91–96, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-91-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-91-2024, 2024
Han Du, Benhe Cai, Xiaoming Li, Weixi Wang, and Shengjun Tang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 135–140, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-135-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-135-2024, 2024
B. Fang, W. Tu, M. Li, J. Cao, W. Gao, Y. Yue, and Q. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 521–528, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-521-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-521-2022, 2022
J. Xiao, T. Zhao, Y. Gu, and W. Tu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 195–202, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-195-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-195-2022, 2022
R. Cao, W. Tu, J. Cai, T. Zhao, J. Xiao, J. Cao, Q. Gao, and H. Su
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 259–266, https://doi.org/10.5194/isprs-annals-V-4-2022-259-2022, https://doi.org/10.5194/isprs-annals-V-4-2022-259-2022, 2022
Y. Wang, W. Wang, X. Li, W. Zhang, and R. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 375–380, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-375-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-375-2020, 2020
H. Luo, B. He, X. Kuai, Y. Li, and R. Z. Guo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 53–58, https://doi.org/10.5194/isprs-annals-V-3-2020-53-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-53-2020, 2020
Yankun Wang, Weixi Wang, Xiaoming Li, Shengjun Tang, and You Li
Abstr. Int. Cartogr. Assoc., 1, 395, https://doi.org/10.5194/ica-abs-1-395-2019, https://doi.org/10.5194/ica-abs-1-395-2019, 2019
Nu Wen, Biao He, Zhilu Yuan, and Yong Fan
Abstr. Int. Cartogr. Assoc., 1, 399, https://doi.org/10.5194/ica-abs-1-399-2019, https://doi.org/10.5194/ica-abs-1-399-2019, 2019
G. Agugiaro, M. Koeva, T. Wei, and F. Biljecki
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1287–1287, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1287-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1287-2019, 2019
G. Agugiaro, M. Koeva, T. Wei, and F. Biljecki
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 501–501, https://doi.org/10.5194/isprs-annals-IV-2-W5-501-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-501-2019, 2019
X. Li, W. Tu, S. Shen, Y. Yue, N. Luo, and Q. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 53–57, https://doi.org/10.5194/isprs-archives-XLII-2-W7-53-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-53-2017, 2017
Rui Cao, Wei Tu, Jinzhou Cao, and Qingquan Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 471–476, https://doi.org/10.5194/isprs-archives-XLI-B2-471-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-471-2016, 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.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org