ENHANCING THE RESOLUTION OF URBAN DIGITAL TERRAIN MODELS USING MOBILE MAPPING SYSTEMS

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

doi:https://doi.org/10.5194/isprs-annals-IV-4-W6-11-2018

Articles | Volume IV-4/W6

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Articles | Volume IV-4/W6

https://doi.org/10.5194/isprs-annals-IV-4-W6-11-2018

Articles | Volume IV-4/W6

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12 Sep 2018

| 12 Sep 2018

ENHANCING THE RESOLUTION OF URBAN DIGITAL TERRAIN MODELS USING MOBILE MAPPING SYSTEMS

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

Y. Feng

Institute of Cartography and Geoinformatics, Leibniz Universität Hannover, Germany

C. Brenner

Institute of Cartography and Geoinformatics, Leibniz Universität Hannover, Germany

M. Sester

Institute of Cartography and Geoinformatics, Leibniz Universität Hannover, Germany

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3D FEATURE POINT EXTRACTION FROM LIDAR DATA USING A NEURAL NETWORK

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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 563–569, https://doi.org/10.5194/isprs-archives-XLI-B1-563-2016,https://doi.org/10.5194/isprs-archives-XLI-B1-563-2016, 2016

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VOXEL-BASED POINT CLOUD LOCALIZATION FOR SMART SPACES MANAGEMENT

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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 325–332, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-325-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-325-2023, 2023

Traffic Regulation Recognition using Crowd-Sensed GPS and Map Data: a Hybrid Approach

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RISK ANALYSIS OF CYCLING ACCIDENTS USING A TRAFFIC DEMAND MODEL

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SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA

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TRAFFIC CONTROL RECOGNITION WITH AN ATTENTION MECHANISM USING SPEED-PROFILE AND SATELLITE IMAGERY DATA

H. Cheng, H. Lei, S. Zourlidou, and M. Sester

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 287–293, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022,https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-287-2022, 2022

UNCERTAINTY REPRESENTATION AND QUANTIFICATION OF 3D BUILDING MODELS

Q. Zou and M. Sester

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 335–341, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-335-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-335-2022, 2022

BUILDING CHANGE DETECTION IN AIRBORNE LASER SCANNING AND DENSE IMAGE MATCHING POINT CLOUDS USING A RESIDUAL NEURAL NETWORK

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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 625–632, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-625-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-625-2022, 2022

IMPROVING 3D PEDESTRIAN DETECTION FOR WEARABLE SENSOR DATA WITH 2D HUMAN POSE

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LEVERAGING DYNAMIC OBJECTS FOR RELATIVE LOCALIZATION CORRECTION IN A CONNECTED AUTONOMOUS VEHICLE NETWORK

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SELF-SUPERVISED ADVERSARIAL SHAPE COMPLETION

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Nudging travelers to favorable routes: The impact of visual communication and emotional responses on decision making

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IMPACT ANALYSIS OF ACCIDENTS ON THE TRAFFIC FLOW BASED ON MASSIVE FLOATING CAR DATA

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

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F. Politz and M. Sester

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TRAJECTORY EXTRACTION FOR ANALYSIS OF UNSAFE DRIVING BEHAVIOUR

C. Koetsier, S. Busch, and M. Sester

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1573–1578, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1573-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1573-2019, 2019

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I. Chauhan and C. Brenner

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F. Politz and M. Sester

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 347–354, https://doi.org/10.5194/isprs-archives-XLII-1-347-2018,https://doi.org/10.5194/isprs-archives-XLII-1-347-2018, 2018

IDENTIFICATION OF SIMILARITIES AND PREDICTION OF UNKNOWN FEATURES IN AN URBAN STREET NETWORK

U. Feuerhake, O. Wage, M. Sester, N. Tempelmeier, W. Nejdl, and E. Demidova

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 185–192, https://doi.org/10.5194/isprs-archives-XLII-4-185-2018,https://doi.org/10.5194/isprs-archives-XLII-4-185-2018, 2018

IMPROVED CLASSIFICATION OF SATELLITE IMAGERY USING SPATIAL FEATURE MAPS EXTRACTED FROM SOCIAL MEDIA

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

BUILDING GENERALIZATION USING DEEP LEARNING

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

Mapping similarities in temporal parking occupancy behavior based on city-wide parking meter data

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

ASSESSING TEMPORAL BEHAVIOR IN LIDAR POINT CLOUDS OF URBAN ENVIRONMENTS

J. Schachtschneider, A. Schlichting, and C. Brenner

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 543–550, https://doi.org/10.5194/isprs-archives-XLII-1-W1-543-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-543-2017, 2017

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

3D FEATURE POINT EXTRACTION FROM LIDAR DATA USING A NEURAL NETWORK

Y. Feng, A. Schlichting, and C. Brenner

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 563–569, https://doi.org/10.5194/isprs-archives-XLI-B1-563-2016,https://doi.org/10.5194/isprs-archives-XLI-B1-563-2016, 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

ENHANCING THE RESOLUTION OF URBAN DIGITAL TERRAIN MODELS USING MOBILE MAPPING SYSTEMS

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