- Article
(1465 KB) - Metadata XML
- November 22, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume V-2-2022
https://doi.org/10.5194/isprs-annals-V-2-2022-351-2022
© 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-annals-V-2-2022-351-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
17 May 2022
| 17 May 2022
EXTRACTION OF ORTHOGONAL BUILDING BOUNDARY FROM AIRBORNE LIDAR DATA BASED ON FEATURE DIMENSION REDUCTION
Y. Chen
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Otto Poon Charitable Foundation Smart Cities Research Institute, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
Related authors
No articles found.
Jinhong Wang and Wei Yao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 435–442, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-435-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-435-2024, 2024
Abubakar Sani-Mohammed, Wei Yao, Reda Fekry, Tsz-Chung Wong, and Marco Heurich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 587–592, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-587-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-587-2024, 2024
R. Fekry, W. Yao, A. Sani-Mohammed, and D. Amr
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 547–553, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-547-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-547-2023, 2023
L. Lau, A. Mack, and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-5-W1-2023, 37–43, https://doi.org/10.5194/isprs-annals-X-5-W1-2023-37-2023, https://doi.org/10.5194/isprs-annals-X-5-W1-2023-37-2023, 2023
P. Wang and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 151–158, https://doi.org/10.5194/isprs-annals-V-2-2022-151-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-151-2022, 2022
P. Wang and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 43–50, https://doi.org/10.5194/isprs-annals-V-2-2021-43-2021, https://doi.org/10.5194/isprs-annals-V-2-2021-43-2021, 2021
S. L. Jiang, G. Li, W. Yao, Z. H. Hong, and T. Y. Kuc
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 605–610, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-605-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-605-2020, 2020
P. Polewski, J. Shelton, W. Yao, and M. Heurich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 717–723, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-717-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-717-2020, 2020
R. Fekry, W. Yao, and L. Cao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 81–88, https://doi.org/10.5194/isprs-annals-V-1-2020-81-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-81-2020, 2020
R. Huang, W. Yao, Z. Ye, Y. Xu, and U. Stilla
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 235–242, https://doi.org/10.5194/isprs-annals-V-2-2020-235-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-235-2020, 2020
M. Li and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 765–772, https://doi.org/10.5194/isprs-annals-V-3-2020-765-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-765-2020, 2020
S. Jiang, W. Yao, and M. Heurich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 127–133, https://doi.org/10.5194/isprs-archives-XLII-2-W16-127-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W16-127-2019, 2019
J. Boehm, M. Rutzinger, B. Yang, M. Weinmann, B. Riveiro, and W. Yao
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 915–917, https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-915-2019, 2019
R. Huang, Z. Ye, R. Boerner, W. Yao, Y. Xu, and U. Stilla
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1015–1020, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1015-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1015-2019, 2019
P. Polewski, W. Yao, and L. Fang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 519–523, https://doi.org/10.5194/isprs-archives-XLII-2-W13-519-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-519-2019, 2019
J. Boehm, M. Rutzinger, B. Yang, M. Weinmann, B. Riveiro, and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 313–315, https://doi.org/10.5194/isprs-annals-IV-2-W5-313-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-313-2019, 2019
P. Polewski, W. Yao, and M. Heurich
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 429–436, https://doi.org/10.5194/isprs-annals-IV-2-W5-429-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-429-2019, 2019
J. Wu, W. Yao, J. Zhang, and Y. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1883–1887, https://doi.org/10.5194/isprs-archives-XLII-3-1883-2018, https://doi.org/10.5194/isprs-archives-XLII-3-1883-2018, 2018
Y. Xu, R. Boerner, W. Yao, L. Hoegner, and U. Stilla
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 185–191, https://doi.org/10.5194/isprs-annals-IV-2-W4-185-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-185-2017, 2017
W. Yao, P. Polewski, and P. Krzystek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 971–976, https://doi.org/10.5194/isprs-archives-XLII-2-W7-971-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-971-2017, 2017
W. Yao, P. Poleswki, and P. Krzystek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 405–410, https://doi.org/10.5194/isprs-archives-XLI-B7-405-2016, https://doi.org/10.5194/isprs-archives-XLI-B7-405-2016, 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