- Article
(1052 KB) - Metadata XML
- May 15, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-1/W2-2023
https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1729-2023
© Author(s) 2023. 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-XLVIII-1-W2-2023-1729-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
14 Dec 2023
| 14 Dec 2023
TREE-GPT: MODULAR LARGE LANGUAGE MODEL EXPERT SYSTEM FOR FOREST REMOTE SENSING IMAGE UNDERSTANDING AND INTERACTIVE ANALYSIS
S. Q. Du
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
State Key Laboratory of Subtropical Building and Urban Science, Shenzhen, P.R. China
Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, P.R. China
S. J. Tang
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
State Key Laboratory of Subtropical Building and Urban Science, Shenzhen, P.R. China
Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, P.R. China
W. X. Wang
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
State Key Laboratory of Subtropical Building and Urban Science, Shenzhen, P.R. China
Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, P.R. China
X. M. Li
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
State Key Laboratory of Subtropical Building and Urban Science, Shenzhen, P.R. China
Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, P.R. China
R. Z. Guo
Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
State Key Laboratory of Subtropical Building and Urban Science, Shenzhen, P.R. China
Guangdong–Hong Kong-Macau Joint Laboratory for Smart Cities, P.R. China
Related authors
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
Zhuoyu Ao, Weixi Wang, Yaoyu Li, Hongsheng Huang, Xiaoming Li, Renzhong Guo, and Shengjun Tang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 7–12, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-7-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-7-2024, 2024
Han Du, Benhe Cai, Xiaoming Li, Weixi Wang, and Shengjun Tang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 135–140, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-135-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-135-2024, 2024
Dengfeng Li, Yaoyu Li, Yuhang Fan, and Shengjun Tang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 305–310, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-305-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-305-2024, 2024
Ziyu Song, Weixi Wang, Zhenyu Hao, Xiaoming Li, Shengjun Tang, and Linfu Xie
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 605–611, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-605-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-605-2024, 2024
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
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
Y. Deng, S. Tang, W. Wang, X. Li, and R. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-3-W1-2022, 37–43, https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-37-2022, https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-37-2022, 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