- Article
(9941 KB) - Metadata XML
- November 21, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume IV-1
https://doi.org/10.5194/isprs-annals-IV-1-77-2018
© 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-annals-IV-1-77-2018
© 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
DISPARITY REFINEMENT OF BUILDING EDGES USING ROBUSTLY MATCHED STRAIGHT LINES FOR STEREO MATCHING
X. Huang
Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, 218B Bolz Hall, 2036 Neil Avenue, Columbus, OH 43210, USA
R. Qin
Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, 218B Bolz Hall, 2036 Neil Avenue, Columbus, OH 43210, USA
Department of Electrical and Computer Engineering, The Ohio State University, 205 Dreese Labs, 2015 Neil Avenue, Columbus, OH 43210, USA
M. Chen
Lyles School of Civil Engineering, Purdue University, West Lafayette, 47907, USA
Related authors
R. Qin, S. Song, and X. Huang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 157–162, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-157-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-157-2020, 2020
Shuang Song, Luca Morelli, Xinyi Wu, Rongjun Qin, Hessah Albanwan, and Fabio Remondino
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 393–400, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-393-2024, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-393-2024, 2024
Shengxi Gui, Philipp Schuegraf, Ksenia Bittner, and Rongjun Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 81–88, https://doi.org/10.5194/isprs-annals-X-2-2024-81-2024, https://doi.org/10.5194/isprs-annals-X-2-2024-81-2024, 2024
Ningli Xu and Rongjun Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 275–282, https://doi.org/10.5194/isprs-annals-X-1-2024-275-2024, https://doi.org/10.5194/isprs-annals-X-1-2024-275-2024, 2024
D. Huang and R. Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 517–524, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-517-2023, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-517-2023, 2023
E. M. Farella, F. Remondino, C. Cahalane, R. Qin, A. M. Loghin, M. Di Tullio, N. Haala, and J. Mills
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 47–54, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023, 2023
F. Nex, N. Zhang, F. Remondino, E. M. Farella, R. Qin, and C. Zhang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 123–130, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023, 2023
A. Yilmaz, J. D. Wegner, R. Qin, F. Remondino, T. Fuse, and I. Toschi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 7–7, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-7-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-7-2022, 2022
F. Remondino, L. Morelli, E. Stathopoulou, M. Elhashash, and R. Qin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 77–84, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-77-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-77-2022, 2022
S. Gui, R. Qin, and Y. Tang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 379–386, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-379-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-379-2022, 2022
A. Yilmaz, J. D. Wegner, R. Qin, F. Remondino, T. Fuse, and I. Toschi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 7–7, https://doi.org/10.5194/isprs-annals-V-2-2022-7-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-7-2022, 2022
D. Huang, M. Elhashash, and R. Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 17–22, https://doi.org/10.5194/isprs-annals-V-2-2022-17-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-17-2022, 2022
S. Song and R. Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 23–30, https://doi.org/10.5194/isprs-annals-V-2-2022-23-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-23-2022, 2022
H. Albanwan and R. Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 39–46, https://doi.org/10.5194/isprs-annals-V-2-2022-39-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-39-2022, 2022
M. Elhashash and R. Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 47–52, https://doi.org/10.5194/isprs-annals-V-2-2022-47-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-47-2022, 2022
H. Albanwan and R. Qin
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 283–288, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-283-2021, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-283-2021, 2021
R. Qin, S. Song, and X. Huang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 157–162, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-157-2020, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-157-2020, 2020
S. Song and R. Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 403–409, https://doi.org/10.5194/isprs-annals-V-2-2020-403-2020, https://doi.org/10.5194/isprs-annals-V-2-2020-403-2020, 2020
H. Albanwan and R. Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 227–232, https://doi.org/10.5194/isprs-annals-V-3-2020-227-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-227-2020, 2020
A. Gruen, S. Schubiger, R. Qin, G. Schrotter, B. Xiong, J. Li, X. Ling, C. Xiao, S. Yao, and F. Nuesch
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W15, 11–18, https://doi.org/10.5194/isprs-archives-XLII-4-W15-11-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W15-11-2019, 2019
C. Xiao, R. Qin, X. Huang, and J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 163–169, https://doi.org/10.5194/isprs-annals-IV-1-163-2018, https://doi.org/10.5194/isprs-annals-IV-1-163-2018, 2018
R. Qin
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-1, 77–82, https://doi.org/10.5194/isprs-annals-III-1-77-2016, https://doi.org/10.5194/isprs-annals-III-1-77-2016, 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