- Article
(7936 KB) - Metadata XML
- November 22, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-3/W10
https://doi.org/10.5194/isprs-archives-XLII-3-W10-297-2020
© 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-XLII-3-W10-297-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
07 Feb 2020
| 07 Feb 2020
THREE-DIMENSIONAL SUBSIDENCE MONITORING OF RECLAMATION AREA BASED ON TS-INSAR TECHNOLOGY
C. Ren
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China
X. J. Shi
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
L. Zhou
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan, China
Y. L. Huang
College of Resources and Environment, Beibu Gulf University, Qinzhou, China
Y. J. Liang
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China
Z. L. Zhu
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
X. G. Li
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China
Related authors
C. Ren, Z. W. Yu, K. Y. Deng, and Y. L. Pan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 793–797, https://doi.org/10.5194/isprs-archives-XLII-3-W10-793-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-793-2020, 2020
X. G. Li, C. Ren, T. X. Zhang, Z. L. Zhu, and Z. G. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 67–70, https://doi.org/10.5194/isprs-archives-XLII-3-W10-67-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-67-2020, 2020
Y. L. Pan, Y. J. Liang, C. Ren, Z. G. Zhang, Y. B. Huang, and Y. J. Shi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 265–270, https://doi.org/10.5194/isprs-archives-XLII-3-W10-265-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-265-2020, 2020
Z. L. Zhu, C. Ren, L. Zhou, X. J. Shi, X. G. Li, and D. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 315–319, https://doi.org/10.5194/isprs-archives-XLII-3-W10-315-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-315-2020, 2020
Z. G. Zhang, C. Ren, Y. J. Liang, Y. L. Pan, Y. B. Huang, and L. Zhou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 503–509, https://doi.org/10.5194/isprs-archives-XLII-3-W10-503-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-503-2020, 2020
C. Ren, Z. W. Yu, K. Y. Deng, and Y. L. Pan
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 793–797, https://doi.org/10.5194/isprs-archives-XLII-3-W10-793-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-793-2020, 2020
X. G. Li, C. Ren, T. X. Zhang, Z. L. Zhu, and Z. G. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 67–70, https://doi.org/10.5194/isprs-archives-XLII-3-W10-67-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-67-2020, 2020
M. Q. Huang, L. Zhou, L. X. Qi, H. Y. Huang, M. Y. Tang, and Y. J. Shi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 193–198, https://doi.org/10.5194/isprs-archives-XLII-3-W10-193-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-193-2020, 2020
Y. L. Pan, Y. J. Liang, C. Ren, Z. G. Zhang, Y. B. Huang, and Y. J. Shi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 265–270, https://doi.org/10.5194/isprs-archives-XLII-3-W10-265-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-265-2020, 2020
L. Zhou, X. L. Wen, X. J. Lu, Y. J. Shi, J. Ma, and D. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 309–313, https://doi.org/10.5194/isprs-archives-XLII-3-W10-309-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-309-2020, 2020
Z. L. Zhu, C. Ren, L. Zhou, X. J. Shi, X. G. Li, and D. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 315–319, https://doi.org/10.5194/isprs-archives-XLII-3-W10-315-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-315-2020, 2020
Z. G. Zhang, C. Ren, Y. J. Liang, Y. L. Pan, Y. B. Huang, and L. Zhou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W10, 503–509, https://doi.org/10.5194/isprs-archives-XLII-3-W10-503-2020, https://doi.org/10.5194/isprs-archives-XLII-3-W10-503-2020, 2020
Fei Yang, Jiming Guo, Junbo Shi, Xiaolin Meng, Yinzhi Zhao, Lv Zhou, and Di Zhang
Atmos. Meas. Tech., 13, 355–371, https://doi.org/10.5194/amt-13-355-2020, https://doi.org/10.5194/amt-13-355-2020, 2020
Short summary
Short summary
The development of GPS station networks that provide rich data sources containing atmospheric information will enable more GPS applications in the field of meteorology. This study describes a genetic algorithm for the water vapour tomography; overcomes the ill-conditioned problem; and eliminates the reliance on excessive constraints, priori information, and external data. It is proven in the paper that accurate 3-D water vapour distribution can be provided by this study for atmospheric research.
L. Zhou, J. Guo, and F. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2541–2545, https://doi.org/10.5194/isprs-archives-XLII-3-2541-2018, https://doi.org/10.5194/isprs-archives-XLII-3-2541-2018, 2018
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