- Article
(1427 KB) - Metadata XML
- July 30, 2025
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
- |
- 𝕏
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B2-2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-279-2020
© Author(s) 2020. 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-XLIII-B2-2020-279-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
12 Aug 2020
| 12 Aug 2020
TERRAIN-ADAPTIVE GROUND FILTERING OF AIRBORNE LIDAR DATA BASED ON SALIENCY-AWARE THIN PLATE SPLINE
School of Remote Sensing and Information Engineering, Wuhan University, 430079 Wuhan, China
Y. Zhang
School of Remote Sensing and Information Engineering, Wuhan University, 430079 Wuhan, China
X. Huang
School of Remote Sensing and Information Engineering, Wuhan University, 430079 Wuhan, China
Y. Wan
School of Remote Sensing and Information Engineering, Wuhan University, 430079 Wuhan, China
Y. Zhang
Huawei Tech. Co., Ltd., Wuhan, China
S. Wang
Institute of Spacecraft System Engineering, China Academy of Space Tech., 100094 Beijing, China
Related authors
Weiwei Fan, Xinyi Liu, Yongjun Zhang, Dongdong Yue, Senyuan Wang, and Jiachen Zhong
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 73–79, https://doi.org/10.5194/isprs-annals-X-2-2024-73-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-73-2024, 2024
Y. Wan, Y. Zhang, G. Wang, and X. Liu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 79–86, https://doi.org/10.5194/isprs-annals-V-2-2020-79-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-79-2020, 2020
X. Liu, Y. Zhang, and Q. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 251–258, https://doi.org/10.5194/isprs-annals-IV-2-W4-251-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-251-2017, 2017
Nicolò Savioli, Erkin Turkoz, Tobias Neumann, Lu Liu, Yongliang Wang, and Yanfeng Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 779–786, https://doi.org/10.5194/isprs-annals-X-G-2025-779-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-779-2025, 2025
Weiwei Fan, Xinyi Liu, Yongjun Zhang, Dongdong Yue, Senyuan Wang, and Jiachen Zhong
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 73–79, https://doi.org/10.5194/isprs-annals-X-2-2024-73-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-73-2024, 2024
Y. Zhang, X. Meng, Y. Gong, J. Kang, and B. Lu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-5-W1-2023, 83–86, https://doi.org/10.5194/isprs-annals-X-5-W1-2023-83-2023, https://doi.org/10.5194/isprs-annals-X-5-W1-2023-83-2023, 2023
Y. Yao, B. Zhang, Y. Wan, and Y. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 99–105, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-99-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-99-2022, 2022
S. Zou, H. Pan, Z. Zou, Y. Zhang, and S. Wu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 41–48, https://doi.org/10.5194/isprs-annals-V-1-2022-41-2022, https://doi.org/10.5194/isprs-annals-V-1-2022-41-2022, 2022
J. Li, Y. Zhang, and Q. Hu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 137–144, https://doi.org/10.5194/isprs-annals-V-1-2021-137-2021, https://doi.org/10.5194/isprs-annals-V-1-2021-137-2021, 2021
Y. Wan, Y. Zhang, G. Wang, and X. Liu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 79–86, https://doi.org/10.5194/isprs-annals-V-2-2020-79-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-79-2020, 2020
F. Wen, Y. Zhang, and B. Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 583–589, https://doi.org/10.5194/isprs-annals-V-2-2020-583-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-583-2020, 2020
B. Zhang, Y. Zhang, Y. Li, Y. Wan, and F. Wen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 609–615, https://doi.org/10.5194/isprs-annals-V-2-2020-609-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-609-2020, 2020
C. Liu, Y. Zhang, and Y. Ou
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 255–262, https://doi.org/10.5194/isprs-annals-V-3-2020-255-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-255-2020, 2020
S. Wang, Z. Li, Y. Zhang, D. Yang, and C. Ni
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 571–578, https://doi.org/10.5194/isprs-annals-V-3-2020-571-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-571-2020, 2020
X. Liu, Y. Zhang, and Q. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 251–258, https://doi.org/10.5194/isprs-annals-IV-2-W4-251-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-251-2017, 2017
Daifeng Peng and Yongjun Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 669–676, https://doi.org/10.5194/isprs-archives-XLI-B3-669-2016, https://doi.org/10.5194/isprs-archives-XLI-B3-669-2016, 2016
Yanfeng Zhang, Yongjun Zhang, Yi Zhang, and Xin Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-3, 249–255, https://doi.org/10.5194/isprs-annals-III-3-249-2016, https://doi.org/10.5194/isprs-annals-III-3-249-2016, 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