EXPLORING ALS AND DIM DATA FOR SEMANTIC SEGMENTATION USING CNNS

Politz, F.; Sester, M.

doi:https://doi.org/10.5194/isprs-archives-XLII-1-347-2018

Articles | Volume XLII-1

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Articles | Volume XLII-1

https://doi.org/10.5194/isprs-archives-XLII-1-347-2018

Articles | Volume XLII-1

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26 Sep 2018

| 26 Sep 2018

EXPLORING ALS AND DIM DATA FOR SEMANTIC SEGMENTATION USING CNNS

F. Politz and M. Sester

F. Politz

Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany

M. Sester

Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany

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

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Building Change Detection of Airborne Laser Scanning and Dense Image Matching Point Clouds using Height and Class Information

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GEOMETRY-BASED POINT CLOUD CLASSIFICATION USING HEIGHT DISTRIBUTIONS

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JOINT CLASSIFICATION OF ALS AND DIM POINT CLOUDS

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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1113–1120, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1113-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1113-2019, 2019

PolygonTranslator - learning to simplify building footprints from one scale to another

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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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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 427–434, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-427-2022,https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-427-2022, 2022

SPATIAL ANALYSIS OF EXTERNAL INFLUENCES ON TRAFFIC ACCIDENTS USING OPEN DATA

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UNCERTAINTY REPRESENTATION AND QUANTIFICATION OF 3D BUILDING MODELS

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

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V. Kamalasanan, Y. Feng, and M. Sester

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 219–226, https://doi.org/10.5194/isprs-annals-V-4-2022-219-2022,https://doi.org/10.5194/isprs-annals-V-4-2022-219-2022, 2022

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

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F. Politz, M. Sester, and C. Brenner

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

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F. Politz and M. Sester

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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

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

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

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

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

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

EXPLORING ALS AND DIM DATA FOR SEMANTIC SEGMENTATION USING CNNS

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