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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-1/W1
https://doi.org/10.5194/isprs-archives-XLII-1-W1-317-2017
© Author(s) 2017. 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-XLII-1-W1-317-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
31 May 2017
FULLY AUTOMATIC FEATURE-BASED REGISTRATION OF MOBILE MAPPING AND AERIAL NADIR IMAGES FOR ENABLING THE ADJUSTMENT OF MOBILE PLATFORM LOCATIONS IN GNSS-DENIED URBAN ENVIRONMENTS
P. Jende
Dept. of Earth Observation Science, Faculty ITC, Universiteit Twente, the Netherlands
Dept. of Earth Observation Science, Faculty ITC, Universiteit Twente, the Netherlands
M. Gerke
Institute of Geodesy and Photogrammetry, Technische Universität Braunschweig, Germany
G. Vosselman
Dept. of Earth Observation Science, Faculty ITC, Universiteit Twente, the Netherlands
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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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Short summary
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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
Johnny Cusicanqui, Norman Kerle, and Francesco Nex
Nat. Hazards Earth Syst. Sci., 18, 1583–1598, https://doi.org/10.5194/nhess-18-1583-2018, https://doi.org/10.5194/nhess-18-1583-2018, 2018
Short summary
Short summary
Aerial multi-perspective images can be used for the effective assessment of post-disaster structural damage. Alternatively, rapidly available video data can be processed for the same purpose. However, video quality characteristics are different than those of images taken with still cameras. The use of video data in post-disaster damage assessment has not been demonstrated. Based on a comparative assessment, our findings support the application of video data in post-disaster damage assessment.
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. Makuti, F. Nex, and M. Y. Yang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 651–658, https://doi.org/10.5194/isprs-archives-XLII-2-651-2018, https://doi.org/10.5194/isprs-archives-XLII-2-651-2018, 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
Y. Lin, F. Nex, and M. Y. Yang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 209–216, https://doi.org/10.5194/isprs-annals-IV-2-209-2018, https://doi.org/10.5194/isprs-annals-IV-2-209-2018, 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
Daniele Giordan, Yuichi Hayakawa, Francesco Nex, Fabio Remondino, and Paolo Tarolli
Nat. Hazards Earth Syst. Sci., 18, 1079–1096, https://doi.org/10.5194/nhess-18-1079-2018, https://doi.org/10.5194/nhess-18-1079-2018, 2018
Short summary
Short summary
Remotely piloted aerial systems can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes like landslides or volcanic activities but also for the definition of effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazards.
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
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
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
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
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
P. Jende, Z. Hussnain, M. Peter, S. Oude Elberink, M. Gerke, and G. Vosselman
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3-W4, 19–26, https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016, https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016, 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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