- Article
(952 KB) - Metadata XML
- December 13, 2025
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
- |
- 𝕏
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-3/W2-2022
https://doi.org/10.5194/isprs-archives-XLVIII-3-W2-2022-103-2022
© Author(s) 2022. 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-3-W2-2022-103-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
27 Oct 2022
| 27 Oct 2022
POINT CLOUD SLICING-BASED EXTRACTION OF INDOOR COMPONENTS
J. Zhao
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China
Key Laboratory for Urban Spatial Information of the Ministry of Natural Resources, Beijing 102616, China
Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 102616, China
Y. Cui
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China
Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 102616, China
X. Niu
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China
Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 102616, China
X. Wang
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China
Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 102616, China
Y. Zhao
Guangzhou Panyu Polytechnic, Guangzhou, China
M. Guo
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China
Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 102616, China
R. Zhang
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, China
Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing 102616, China
Related authors
Jianghong Zhao, Mengtian Cao, and Jia Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W14-2025, 437–444, https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-437-2025, https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-437-2025, 2025
Jianghong Zhao, Xueqing Zhang, Ziyu Liu, Jia Yang, and Haiquan Yu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 1761–1767, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1761-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1761-2025, 2025
Jianghong Zhao, Ziyu Liu, Ziling Liu, Ailin Xu, and Jifu Zhao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-2024, 577–584, https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-577-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-577-2024, 2024
Y. Xue, R. Zhang, J. Wang, J. Zhao, and L. Pang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 239–245, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-239-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-239-2023, 2023
J. Zhao, X. Hua, J. Yang, L. Yin, Z. Liu, and X. Wang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 247–254, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-247-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-247-2023, 2023
J. Zhao, L. Yin, J. Yang, X. Hua, Z. Liu, and X. Wang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 255–262, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-255-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-255-2023, 2023
L. Zhu, J. Zhao, L. Zhou, and S. Wei
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-5-W1-2023, 65–71, https://doi.org/10.5194/isprs-archives-XLVIII-5-W1-2023-65-2023, https://doi.org/10.5194/isprs-archives-XLVIII-5-W1-2023-65-2023, 2023
J. Zhao, X. Niu, Y. Cui, Y. Zhao, M. Guo, and R. Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-W2-2022, 87–92, https://doi.org/10.5194/isprs-annals-X-3-W2-2022-87-2022, https://doi.org/10.5194/isprs-annals-X-3-W2-2022-87-2022, 2022
Jianghong Zhao, Mengtian Cao, and Jia Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W14-2025, 437–444, https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-437-2025, https://doi.org/10.5194/isprs-archives-XLVIII-4-W14-2025-437-2025, 2025
Jianghong Zhao, Xueqing Zhang, Ziyu Liu, Jia Yang, and Haiquan Yu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 1761–1767, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1761-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1761-2025, 2025
Jianghong Zhao, Ziyu Liu, Ziling Liu, Ailin Xu, and Jifu Zhao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-2024, 577–584, https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-577-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-577-2024, 2024
Y. Xue, R. Zhang, J. Wang, J. Zhao, and L. Pang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 239–245, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-239-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-239-2023, 2023
J. Zhao, X. Hua, J. Yang, L. Yin, Z. Liu, and X. Wang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 247–254, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-247-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-247-2023, 2023
J. Zhao, L. Yin, J. Yang, X. Hua, Z. Liu, and X. Wang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 255–262, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-255-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-255-2023, 2023
L. Zhu, J. Zhao, L. Zhou, and S. Wei
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-5-W1-2023, 65–71, https://doi.org/10.5194/isprs-archives-XLVIII-5-W1-2023-65-2023, https://doi.org/10.5194/isprs-archives-XLVIII-5-W1-2023-65-2023, 2023
J. Zhao, X. Niu, Y. Cui, Y. Zhao, M. Guo, and R. Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-W2-2022, 87–92, https://doi.org/10.5194/isprs-annals-X-3-W2-2022-87-2022, https://doi.org/10.5194/isprs-annals-X-3-W2-2022-87-2022, 2022
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