- Article
(975 KB) - Metadata XML
- April 26, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVI-3/W1-2022
https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-37-2022
© 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-XLVI-3-W1-2022-37-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
22 Apr 2022
| 22 Apr 2022
A HIGH PRECISION VISUAL LOCALIZATION METHOD OPTIMIZED BY MULTI-FEATURES
Y. Deng
School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, P.R. China
S. Tang
School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, P.R. China
W. Wang
School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, P.R. China
X. Li
School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, P.R. China
R. Guo
School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University & Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, P.R. China
Related authors
No articles found.
W. X. Wang, G. X. Zhong, J. J. Huang, X. M. Li, and L. F. Xie
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1677–1684, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1677-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1677-2023, 2023
S. Q. Du, S. J. Tang, W. X. Wang, X. M. Li, and R. Z. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1729–1736, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1729-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1729-2023, 2023
R. Z. Guo, T. Yu, W. X. Wang, X. M. Li, S. J. Tang, and L. F. Xie
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1029–1036, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1029-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1029-2023, 2023
W. X. Wang, L. P. Hong, H. S. Huang, X. M. Li, S. J. Tang, R. Z. Guo, and L. F. Xie
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1081–1087, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1081-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1081-2023, 2023
M. M. Yao, X. M. Li, W. X. Wang, L. F. Xie, and S. J. Tang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 305–310, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-305-2022, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-305-2022, 2022
H. S. Huang, S. J. Tang, W. X. Wang, X. M. Li, and R. Z. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2022, 73–78, https://doi.org/10.5194/isprs-archives-XLIII-B5-2022-73-2022, https://doi.org/10.5194/isprs-archives-XLIII-B5-2022-73-2022, 2022
J. Huang, L. Xie, W. Wang, X. Li, and R. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2022, 79–86, https://doi.org/10.5194/isprs-archives-XLIII-B5-2022-79-2022, https://doi.org/10.5194/isprs-archives-XLIII-B5-2022-79-2022, 2022
L. F. Liao, S. J. Tang, J. H. Liao, W. X. Wang, X. M. Li, and R. Z. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 229–235, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-229-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-229-2022, 2022
H. Liu, L. Xie, X. Li, and W. X. Wang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 417–424, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-417-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-417-2022, 2022
S. Q. Du, S. J. Tang, W. X. Wang, X. M. Li, Y. H. Lu, and R. Z. Guo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 129–136, https://doi.org/10.5194/isprs-annals-V-1-2022-129-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-129-2022, 2022
Yebin Chen, Ding Ma, Shen Ying, Renzhong Guo, Zhigang Zhao, and Zhilin Li
Proc. Int. Cartogr. Assoc., 4, 20, https://doi.org/10.5194/ica-proc-4-20-2021, https://doi.org/10.5194/ica-proc-4-20-2021, 2021
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
X. M. Li, W. X. Wang, S. J. Tang, J. Z. Xia, Z. G. Zhao, Y. Li, Y. Zheng, and R. Z. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 477–483, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-477-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-477-2020, 2020
J. X. Wang, W. X. Wang, C. Y. Wang, H. Zhu, W. Y. He, and S. Y. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 103–109, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-103-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-103-2020, 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
Shengjun Tang, Weixi Wang, Xiaoming Li, and Zhilu Yuan
Abstr. Int. Cartogr. Assoc., 1, 362, https://doi.org/10.5194/ica-abs-1-362-2019, https://doi.org/10.5194/ica-abs-1-362-2019, 2019
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
S. J. Tang, Q. Zhu, W. Chen, W. X. Wang, Y. Li, W. Darwish, and W. B. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 293–297, https://doi.org/10.5194/isprs-annals-IV-2-W5-293-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-293-2019, 2019
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