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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XL-3/W4
https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
17 Mar 2016
LOW-LEVEL TIE FEATURE EXTRACTION OF MOBILE MAPPING DATA (MLS/IMAGES) AND AERIAL IMAGERY
P. Jende
University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science, The Netherlands
Z. Hussnain
University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science, The Netherlands
M. Peter
University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science, The Netherlands
S. Oude Elberink
University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science, The Netherlands
M. Gerke
University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science, The Netherlands
G. Vosselman
University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science, The Netherlands
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S. Briechle, P. Krzystek, and G. Vosselman
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S. J. Oude Elberink
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Short summary
Short summary
In this research we present the results of our satellite analysis of a permafrost landscape and periglacial landforms in mountainous regions on the Tibetan Plateau. We study seasonal and multiannual surface displacement processes, such as the freezing and thawing of the ground, seasonally accelerated sliding on steep slopes, and continuous permafrost creep. This study is the first step of our goal to create an inventory of actively moving landforms within the Nyainqêntanglha range.
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 85–92, https://doi.org/10.5194/isprs-annals-IV-1-85-2018, https://doi.org/10.5194/isprs-annals-IV-1-85-2018, 2018
Z. Hussnain, S. Oude Elberink, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 203–209, https://doi.org/10.5194/isprs-archives-XLII-1-203-2018, https://doi.org/10.5194/isprs-archives-XLII-1-203-2018, 2018
K. Khoshelham, H. Tran, L. Díaz-Vilariño, M. Peter, Z. Kang, and D. Acharya
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 297–302, https://doi.org/10.5194/isprs-archives-XLII-4-297-2018, https://doi.org/10.5194/isprs-archives-XLII-4-297-2018, 2018
S. Nikoohemat, M. Koeva, S. J. Oude Elberink, and C. H. J. Lemmen
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 451–457, https://doi.org/10.5194/isprs-archives-XLII-4-451-2018, https://doi.org/10.5194/isprs-archives-XLII-4-451-2018, 2018
P. Jende, F. Nex, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 471–477, https://doi.org/10.5194/isprs-archives-XLII-2-471-2018, https://doi.org/10.5194/isprs-archives-XLII-2-471-2018, 2018
M. Maboudi, D. Bánhidi, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 637–642, https://doi.org/10.5194/isprs-archives-XLII-2-637-2018, https://doi.org/10.5194/isprs-archives-XLII-2-637-2018, 2018
S. Crommelinck, B. Höfle, M. N. Koeva, M. Y. Yang, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 81–88, https://doi.org/10.5194/isprs-annals-IV-2-81-2018, https://doi.org/10.5194/isprs-annals-IV-2-81-2018, 2018
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 89–96, https://doi.org/10.5194/isprs-annals-IV-2-89-2018, https://doi.org/10.5194/isprs-annals-IV-2-89-2018, 2018
F. Li, M. Lehtomäki, S. Oude Elberink, G. Vosselman, E. Puttonen, A. Kukko, and J. Hyyppä
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 185–192, https://doi.org/10.5194/isprs-annals-IV-2-185-2018, https://doi.org/10.5194/isprs-annals-IV-2-185-2018, 2018
A. Rizaldy, C. Persello, C. M. Gevaert, and S. J. Oude Elberink
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 231–238, https://doi.org/10.5194/isprs-annals-IV-2-231-2018, https://doi.org/10.5194/isprs-annals-IV-2-231-2018, 2018
Z. Zhang, M. Gerke, G. Vosselman, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 319–326, https://doi.org/10.5194/isprs-annals-IV-2-319-2018, https://doi.org/10.5194/isprs-annals-IV-2-319-2018, 2018
S. Nikoohemat, M. Peter, S. Oude Elberink, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 355–362, https://doi.org/10.5194/isprs-annals-IV-2-W4-355-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-355-2017, 2017
M. Peter, S. R. U. N. Jafri, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 363–369, https://doi.org/10.5194/isprs-annals-IV-2-W4-363-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-363-2017, 2017
K. Velumani, S. Oude Elberink, M. Y. Yang, and F. Baret
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 149–156, https://doi.org/10.5194/isprs-annals-IV-2-W4-149-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-149-2017, 2017
T. Zhang, G. Vosselman, and S. J. Oude Elberink
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 193–198, https://doi.org/10.5194/isprs-annals-IV-2-W4-193-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-193-2017, 2017
M. Koeva, R. Bennett, M. Gerke, S. Crommelinck, C. Stöcker, J. Crompvoets, S. Ho, A. Schwering, M. Chipofya, C. Schultz, T. Zein, M. Biraro, B. Alemie, R. Wayumba, and K. Kundert
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 37–43, https://doi.org/10.5194/isprs-archives-XLII-2-W7-37-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-37-2017, 2017
F. Li, S. Oude Elberink, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 247–254, https://doi.org/10.5194/isprs-archives-XLII-2-W7-247-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-247-2017, 2017
K. Khoshelham, L. Díaz Vilariño, M. Peter, Z. Kang, and D. Acharya
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 367–372, https://doi.org/10.5194/isprs-archives-XLII-2-W7-367-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-367-2017, 2017
M. Peter
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 385–390, https://doi.org/10.5194/isprs-archives-XLII-2-W7-385-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-385-2017, 2017
C. Stöcker, F. Nex, M. Koeva, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 355–361, https://doi.org/10.5194/isprs-archives-XLII-2-W6-355-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-355-2017, 2017
D. Duarte, F. Nex, N. Kerle, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 93–100, https://doi.org/10.5194/isprs-archives-XLII-2-W6-93-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W6-93-2017, 2017
S. Crommelinck, R. Bennett, M. Gerke, M. N. Koeva, M. Y. Yang, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W3, 9–16, https://doi.org/10.5194/isprs-annals-IV-2-W3-9-2017, https://doi.org/10.5194/isprs-annals-IV-2-W3-9-2017, 2017
S. Hosseinyalamdary and M. Peter
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 129–134, https://doi.org/10.5194/isprs-archives-XLII-1-W1-129-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-129-2017, 2017
P. Jende, F. Nex, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 317–323, https://doi.org/10.5194/isprs-archives-XLII-1-W1-317-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-317-2017, 2017
F. A. Onyango, F. Nex, M. S. Peter, and P. Jende
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 599–605, https://doi.org/10.5194/isprs-archives-XLII-1-W1-599-2017, https://doi.org/10.5194/isprs-archives-XLII-1-W1-599-2017, 2017
M. Gerke, F. Nex, F. Remondino, K. Jacobsen, J. Kremer, W. Karel, H. Hu, and W. Ostrowski
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 185–191, https://doi.org/10.5194/isprs-archives-XLI-B1-185-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-185-2016, 2016
Zille Hussnain, Sander Oude Elberink, and George Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 609–616, https://doi.org/10.5194/isprs-archives-XLI-B1-609-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-609-2016, 2016
P. Jende, M. Peter, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 617–623, https://doi.org/10.5194/isprs-archives-XLI-B1-617-2016, https://doi.org/10.5194/isprs-archives-XLI-B1-617-2016, 2016
M. Gerke, F. Nex, and P. Jende
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 11–18, https://doi.org/10.5194/isprs-archives-XL-3-W4-11-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-11-2016, 2016
K. Jacobsen and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 35–40, https://doi.org/10.5194/isprs-archives-XL-3-W4-35-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-35-2016, 2016
T. Kraft, M. Geßner, H. Meißner, H. J. Przybilla, and M. Gerke
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 71–75, https://doi.org/10.5194/isprs-archives-XL-3-W4-71-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-71-2016, 2016
W. Kim, N. Kerle, and M. Gerke
Nat. Hazards Earth Syst. Sci., 16, 287–298, https://doi.org/10.5194/nhess-16-287-2016, https://doi.org/10.5194/nhess-16-287-2016, 2016
Short summary
Short summary
This study assesses the value of a novel technology, mobile augmented reality, for rapid damage and safety assessment of the state of buildings in the aftermath of a disaster event. In this study, we propose and demonstrate conceptual frameworks and approaches for in situ ground-based assessment based on augmented reality using mobile devices such as smartphones and tablet PCs.
J. Fernandez Galarreta, N. Kerle, and M. Gerke
Nat. Hazards Earth Syst. Sci., 15, 1087–1101, https://doi.org/10.5194/nhess-15-1087-2015, https://doi.org/10.5194/nhess-15-1087-2015, 2015
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.
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