- Article
(1015 KB) - Metadata XML
- April 08, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-3
https://doi.org/10.5194/isprs-archives-XLII-3-1883-2018
© 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-3-1883-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 Apr 2018
| 30 Apr 2018
3D SEMANTIC LABELING OF ALS DATA BASED ON DOMAIN ADAPTION BY TRANSFERRING AND FUSING RANDOM FOREST MODELS
J. Wu
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
Dept. of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong
Dept. of Land Surveying & Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong
J. Zhang
State Grid Economic and Technological Research Institute CO.LTD, Beijing, China
Y. Li
Changjiang River Scientific Research Institute of Changjiang Water Resources Commission, Wuhan, China
Related authors
No articles found.
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
Y. Chen and W. Yao
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 351–358, https://doi.org/10.5194/isprs-annals-V-2-2022-351-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-351-2022, 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
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
C. Yao, Y. Zhang, Y. Zhang, and H. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 989–992, https://doi.org/10.5194/isprs-archives-XLII-2-W7-989-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-989-2017, 2017
C. Yao, J. Wu, and Z. Yuan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 993–1000, https://doi.org/10.5194/isprs-archives-XLII-2-W7-993-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-993-2017, 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