- Article
(1348 KB) - Metadata XML
- November 24, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B4-2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-463-2020
© 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-B4-2020-463-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
25 Aug 2020
| 25 Aug 2020
RAPID VISUAL PRESENTATION TO SUPPORT GEOSPATIAL BIG DATA PROCESSING
E. Levin
College of Engineering, Michigan Technological University,1400 Townsend Dr, Houghton,MI 49931, USA
W. Roland
College of Engineering, Michigan Technological University,1400 Townsend Dr, Houghton,MI 49931, USA
R. Habibi
College of Engineering, Michigan Technological University,1400 Townsend Dr, Houghton,MI 49931, USA
Z. An
College of Engineering, Michigan Technological University,1400 Townsend Dr, Houghton,MI 49931, USA
R. Shults
Dept. of Geoinformatics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine
Related authors
R. Shults, E. Levin, R. Habibi, S. Shenoy, O. Honcheruk, T. Hart, and Z. An
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 1059–1064, https://doi.org/10.5194/isprs-archives-XLII-2-W11-1059-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-1059-2019, 2019
E. Levin, G. Meadows, R. Shults, U. Karacelebi, and H. S. Kulunk
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 101–106, https://doi.org/10.5194/isprs-archives-XLII-2-W10-101-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-101-2019, 2019
A. Al-Shammari, E. Levin, and R. Shults
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 293–301, https://doi.org/10.5194/isprs-annals-IV-5-293-2018, https://doi.org/10.5194/isprs-annals-IV-5-293-2018, 2018
E. Levin, K. Vach, and R. Shults
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5-W1, 29–33, https://doi.org/10.5194/isprs-annals-IV-5-W1-29-2017, https://doi.org/10.5194/isprs-annals-IV-5-W1-29-2017, 2017
E. Levin, A. Zarnowski, J. L. McCarty, J. Bialas, A. Banaszek, and S. Banaszek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 99–103, https://doi.org/10.5194/isprs-archives-XLI-B8-99-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-99-2016, 2016
R. Shults and A. Annenkov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-5-W2-2023, 99–104, https://doi.org/10.5194/isprs-archives-XLVIII-5-W2-2023-99-2023, https://doi.org/10.5194/isprs-archives-XLVIII-5-W2-2023-99-2023, 2023
R. Shults, G. Seitkazina, and S. Soltabayeva
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-5-W2-2023, 105–110, https://doi.org/10.5194/isprs-archives-XLVIII-5-W2-2023-105-2023, https://doi.org/10.5194/isprs-archives-XLVIII-5-W2-2023-105-2023, 2023
A. Dlesk, K. Vach, R. Shults, and P. Doubrava
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 309–314, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-309-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-309-2022, 2022
V. Seredovich, K. Vach, and R. Shults
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-5-W1-2022, 217–223, https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-217-2022, https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-217-2022, 2022
R. Shults
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-5-W1-2022, 225–230, https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-225-2022, https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-225-2022, 2022
R. Shults
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W3, 115–120, https://doi.org/10.5194/isprs-archives-XLII-5-W3-115-2019, https://doi.org/10.5194/isprs-archives-XLII-5-W3-115-2019, 2019
R. Shults, M. Bilous, and V. Kovtun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 1053–1058, https://doi.org/10.5194/isprs-archives-XLII-2-W11-1053-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-1053-2019, 2019
R. Shults, E. Levin, R. Habibi, S. Shenoy, O. Honcheruk, T. Hart, and Z. An
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W11, 1059–1064, https://doi.org/10.5194/isprs-archives-XLII-2-W11-1059-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W11-1059-2019, 2019
E. Levin, G. Meadows, R. Shults, U. Karacelebi, and H. S. Kulunk
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 101–106, https://doi.org/10.5194/isprs-archives-XLII-2-W10-101-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W10-101-2019, 2019
A. Al-Shammari, E. Levin, and R. Shults
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 293–301, https://doi.org/10.5194/isprs-annals-IV-5-293-2018, https://doi.org/10.5194/isprs-annals-IV-5-293-2018, 2018
E. Levin, K. Vach, and R. Shults
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5-W1, 29–33, https://doi.org/10.5194/isprs-annals-IV-5-W1-29-2017, https://doi.org/10.5194/isprs-annals-IV-5-W1-29-2017, 2017
R. Shults
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 345–351, https://doi.org/10.5194/isprs-archives-XLII-1-W1-345-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-345-2017, 2017
R. Shults
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W1, 481–486, https://doi.org/10.5194/isprs-archives-XLII-5-W1-481-2017, https://doi.org/10.5194/isprs-archives-XLII-5-W1-481-2017, 2017
E. Levin, A. Zarnowski, J. L. McCarty, J. Bialas, A. Banaszek, and S. Banaszek
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 99–103, https://doi.org/10.5194/isprs-archives-XLI-B8-99-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-99-2016, 2016
Iulia Kravchenko, Thomas Luhmann, and Roman Shults
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 65–69, https://doi.org/10.5194/isprs-archives-XLI-B6-65-2016, https://doi.org/10.5194/isprs-archives-XLI-B6-65-2016, 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