DETECTION OF TERRAIN STRUCTURES IN AIRBORNE LASER SCANNING DATA USING DEEP LEARNING

Kazimi, B.; Thiemann, F.; Sester, M.

doi:https://doi.org/10.5194/isprs-annals-V-2-2020-493-2020

Articles | Volume V-2-2020

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Articles | Volume V-2-2020

https://doi.org/10.5194/isprs-annals-V-2-2020-493-2020

Articles | Volume V-2-2020

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03 Aug 2020

| 03 Aug 2020

DETECTION OF TERRAIN STRUCTURES IN AIRBORNE LASER SCANNING DATA USING DEEP LEARNING

B. Kazimi, F. Thiemann, and M. Sester

B. Kazimi

Leibniz University Hannover, Institute of Cartography and Geoinformatics, Germany

F. Thiemann

Leibniz University Hannover, Institute of Cartography and Geoinformatics, Germany

M. Sester

Leibniz University Hannover, Institute of Cartography and Geoinformatics, Germany

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A. Leichter, D. Wittich, F. Rottensteiner, M. Werner, and M. Sester

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 335–342, https://doi.org/10.5194/isprs-archives-XLII-4-335-2018,https://doi.org/10.5194/isprs-archives-XLII-4-335-2018, 2018

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M. Sester, Y. Feng, and F. Thiemann

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 565–572, https://doi.org/10.5194/isprs-archives-XLII-4-565-2018,https://doi.org/10.5194/isprs-archives-XLII-4-565-2018, 2018

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Y. Feng, C. Brenner, and M. Sester

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W6, 11–18, https://doi.org/10.5194/isprs-annals-IV-4-W6-11-2018,https://doi.org/10.5194/isprs-annals-IV-4-W6-11-2018, 2018

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Fabian Bock, Karen Xia, and Monika Sester

Proc. Int. Cartogr. Assoc., 1, 12, https://doi.org/10.5194/ica-proc-1-12-2018,https://doi.org/10.5194/ica-proc-1-12-2018, 2018

Volunteered Geographic Information: Interpretation, Visualisation and Social Computing (VGIscience)

Dirk Burghardt, Wolfgang Nejdl, Jochen Schiewe, and Monika Sester

Proc. Int. Cartogr. Assoc., 1, 15, https://doi.org/10.5194/ica-proc-1-15-2018,https://doi.org/10.5194/ica-proc-1-15-2018, 2018

Areal rainfall estimation using moving cars – computer experiments including hydrological modeling

Ehsan Rabiei, Uwe Haberlandt, Monika Sester, Daniel Fitzner, and Markus Wallner

Hydrol. Earth Syst. Sci., 20, 3907–3922, https://doi.org/10.5194/hess-20-3907-2016,https://doi.org/10.5194/hess-20-3907-2016, 2016

Short summary

The value of using moving cars for rainfall measurement purposes (RCs) was investigated with laboratory experiments by Rabiei et al. (2013). They analyzed the Hydreon and Xanonex optical sensors against different rainfall intensities. A continuous investigation of using RCs with the derived uncertainties from laboratory experiments for areal rainfall estimation as well as implementing the data in a hydrological model are addressed in this study.

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INTERSECTION DETECTION BASED ON QUALITATIVE SPATIAL REASONING ON STOPPING POINT CLUSTERS

S. Zourlidou and M. Sester

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 269–276, https://doi.org/10.5194/isprs-archives-XLI-B2-269-2016,https://doi.org/10.5194/isprs-archives-XLI-B2-269-2016, 2016

Rainfall estimation using moving cars as rain gauges – laboratory experiments

E. Rabiei, U. Haberlandt, M. Sester, and D. Fitzner

Hydrol. Earth Syst. Sci., 17, 4701–4712, https://doi.org/10.5194/hess-17-4701-2013,https://doi.org/10.5194/hess-17-4701-2013, 2013

DETECTION OF TERRAIN STRUCTURES IN AIRBORNE LASER SCANNING DATA USING DEEP LEARNING

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