- Article
(1037 KB) - Metadata XML
- November 21, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-1
https://doi.org/10.5194/isprs-archives-XLII-1-457-2018
© 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-1-457-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
26 Sep 2018
| 26 Sep 2018
MOBILE LASER SCANNING SYSTEMS FOR GPS/GNSS-DENIED ENVIRONMENT MAPPING
C. Wen
Fujian Key Laboratory of Sensing and Computing for Smart City and the School of Information Science and Engineering, Xiamen University, Xiamen 361005, China
Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China
Y. Xia
Fujian Key Laboratory of Sensing and Computing for Smart City and the School of Information Science and Engineering, Xiamen University, Xiamen 361005, China
Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China
Y. Lian
Fujian Key Laboratory of Sensing and Computing for Smart City and the School of Information Science and Engineering, Xiamen University, Xiamen 361005, China
Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China
Y. Dai
Fujian Key Laboratory of Sensing and Computing for Smart City and the School of Information Science and Engineering, Xiamen University, Xiamen 361005, China
Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China
J. Tan
Fujian Key Laboratory of Sensing and Computing for Smart City and the School of Information Science and Engineering, Xiamen University, Xiamen 361005, China
Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China
C. Wang
Fujian Key Laboratory of Sensing and Computing for Smart City and the School of Information Science and Engineering, Xiamen University, Xiamen 361005, China
Fujian Collaborative Innovation Center for Big Data Applications in Governments, Fuzhou 350003, China
J. Li
Fujian Key Laboratory of Sensing and Computing for Smart City and the School of Information Science and Engineering, Xiamen University, Xiamen 361005, China
Faculty of Environment, University of Waterloo, Waterloo, ON N2L 3G1, Canada
Related authors
Yiyuan Li, Yuhang Lu, Xun Huang, Siqi Shen, Cheng Wang, and Chenglu Wen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 123–130, https://doi.org/10.5194/isprs-annals-X-1-2024-123-2024, https://doi.org/10.5194/isprs-annals-X-1-2024-123-2024, 2024
H. Wu, Z. Xie, C. Wen, C. Wang, and J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 207–213, https://doi.org/10.5194/isprs-annals-V-1-2020-207-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-207-2020, 2020
C. Wang, Y. Dai, N. Elsheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 117–123, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, 2020
Q. Li, C. Wang, S. Chen, X. Li, C. Wen, M. Cheng, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1681–1686, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1681-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1681-2019, 2019
C. Wang, Y. Dai, N. El-Sheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1709–1713, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, 2019
Z. Zhang, C. Wen, Y. Chen, W. Li, C. You, C. Wang, and J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 307–312, https://doi.org/10.5194/isprs-annals-IV-2-W5-307-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-307-2019, 2019
Yiyuan Li, Yuhang Lu, Xun Huang, Siqi Shen, Cheng Wang, and Chenglu Wen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 123–130, https://doi.org/10.5194/isprs-annals-X-1-2024-123-2024, https://doi.org/10.5194/isprs-annals-X-1-2024-123-2024, 2024
Y. Zang, G. Huang, W. Liu, L. Chen, D. Wu, C. Wang, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 71–76, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-71-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-71-2023, 2023
Z. Sha, Y. Chen, W. Li, C. Wang, A. Nurunnabi, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 65–71, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-65-2020, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-65-2020, 2020
H. Wu, Z. Xie, C. Wen, C. Wang, and J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 207–213, https://doi.org/10.5194/isprs-annals-V-1-2020-207-2020, https://doi.org/10.5194/isprs-annals-V-1-2020-207-2020, 2020
C. Wang, Y. Dai, N. Elsheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-5-2020, 117–123, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, https://doi.org/10.5194/isprs-annals-V-5-2020-117-2020, 2020
W. Lin, Y. Chen, C. Wang, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 835–839, https://doi.org/10.5194/isprs-archives-XLII-2-W13-835-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-835-2019, 2019
S. Zhang, C. Wang, M. Cheng, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1185–1190, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1185-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1185-2019, 2019
Q. Li, C. Wang, S. Chen, X. Li, C. Wen, M. Cheng, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1681–1686, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1681-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1681-2019, 2019
C. Wang, Y. Dai, N. El-Sheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1709–1713, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1709-2019, 2019
Z. Zhang, C. Wen, Y. Chen, W. Li, C. You, C. Wang, and J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 307–312, https://doi.org/10.5194/isprs-annals-IV-2-W5-307-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-307-2019, 2019
Y. Chen, D. Li, Q. Zhu, C. Wang, and J. Li
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W12, 31–36, https://doi.org/10.5194/isprs-archives-XLII-2-W12-31-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W12-31-2019, 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