SATELLITE-DERIVED BATHYMETRY USING CONVOLUTIONAL NEURAL NETWORKS AND MULTISPECTRAL SENTINEL-2 IMAGES

Lumban-Gaol, Y. A.; Ohori, K. A.; Peters, R. Y.

doi:https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-201-2021

APPLYING VERSIONING TO MULTI-LOD 3D CITY MODELS

S. Vitalis, K. Arroyo Ohori, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 177–182, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-177-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-177-2022, 2022

GEOBIM INFORMATION TO CHECK DIGITAL BUILDING PERMIT REGULATIONS

N. Hobeika, J. van Liempt, F. Noardo, K. Arroyo Ohori, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 529–535, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-529-2022,https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-529-2022, 2022

QUALITY ASSESSMENT OF A NATIONWIDE DATA SET CONTAINING AUTOMATICALLY RECONSTRUCTED 3D BUILDING MODELS

B. Dukai, R. Peters, S. Vitalis, J. van Liempt, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W4-2021, 17–24, https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-17-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-17-2021, 2021

AUTOMATIC CHANGE DETECTION OF DIGITAL MAPS USING AERIAL IMAGES AND POINT CLOUDS

F. Dahle, K. Arroyo Ohori, G. Agugiaro, and S. Briels

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 457–464, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-457-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-457-2021, 2021

A COMPARATIVE STUDY OF POINT CLOUDS SEMANTIC SEGMENTATION USING THREE DIFFERENT NEURAL NETWORKS ON THE RAILWAY STATION DATASET

Y. A. Lumban-Gaol, Z. Chen, M. Smit, X. Li, M. A. Erbaşu, E. Verbree, J. Balado, M. Meijers, and N. van der Vaart

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 223–228, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-223-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-223-2021, 2021

VOLUME COMPARISON OF AUTOMATICALLY RECONSTRUCTED MULTI-LOD BUILDING MODELS FOR URBAN PLANNING APPLICATIONS

T. Q. Doan, C. León-Sánchez, R. Peters, G. Agugiaro, and J. Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 169–176, https://doi.org/10.5194/isprs-annals-V-4-2021-169-2021,https://doi.org/10.5194/isprs-annals-V-4-2021-169-2021, 2021

GEOBIM FOR DIGITAL BUILDING PERMIT PROCESS: LEARNING FROM A CASE STUDY IN ROTTERDAM

F. Noardo, T. Wu, K. Arroyo Ohori, T. Krijnen, H. Tezerdi, and J. Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4-W1-2020, 151–158, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-151-2020,https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-151-2020, 2020

CITYJSON + WEB = NINJA

S. Vitalis, A. Labetski, F. Boersma, F. Dahle, X. Li, K. Arroyo Ohori, H. Ledoux, and J. Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-4-W1-2020, 167–173, https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-167-2020,https://doi.org/10.5194/isprs-annals-VI-4-W1-2020-167-2020, 2020

GENERATING, STORING, UPDATING AND DISSEMINATING A COUNTRYWIDE 3D MODEL

B. Dukai, R. Peters, T. Wu, T. Commandeur, H. Ledoux, T. Baving, M. Post, V. van Altena, W. van Hinsbergh, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4-W1-2020, 27–32, https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-27-2020,https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-27-2020, 2020

AUTOMATIC CONVERSION OF CITYGML TO IFC

N. Salheb, K. Arroyo Ohori, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-4-W1-2020, 127–134, https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-127-2020,https://doi.org/10.5194/isprs-archives-XLIV-4-W1-2020-127-2020, 2020

THE ISPRS-EUROSDR GEOBIM BENCHMARK 2019

F. Noardo, K. Arroyo Ohori, F. Biljecki, C. Ellul, L. Harrie, T. Krijnen, M. Kokla, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 227–233, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-227-2020,https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-227-2020, 2020

GEOGRAPHICALLY WEIGHTED REGRESSION APPROACH FOR SHALLOW WATER DEPTH ESTIMATION USING MULTISPECTRAL SATELLITE IMAGERIES

Y. A. Lumban-Gaol, R. S. Dewi, N. Oktaviani, and S. Aditya

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 453–459, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-453-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-453-2020, 2020

A DATA STRUCTURE TO INCORPORATE VERSIONING IN 3D CITY MODELS

S. Vitalis, A. Labetski, K. Arroyo Ohori, H. Ledoux, and J. Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W8, 123–130, https://doi.org/10.5194/isprs-annals-IV-4-W8-123-2019,https://doi.org/10.5194/isprs-annals-IV-4-W8-123-2019, 2019

GEOBIM BENCHMARK 2019: INTERMEDIATE RESULTS

F. Noardo, F. Biljecki, G. Agugiaro, K. Arroyo Ohori, C. Ellul, L. Harrie, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W15, 47–52, https://doi.org/10.5194/isprs-archives-XLII-4-W15-47-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W15-47-2019, 2019

EUROSDR GEOBIM PROJECT A STUDY IN EUROPE ON HOW TO USE THE POTENTIALS OF BIM AND GEO DATA IN PRACTICE

F. Noardo, C. Ellul, L. Harrie, E. Devys, K. Arroyo Ohori, P. Olsson, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W15, 53–60, https://doi.org/10.5194/isprs-archives-XLII-4-W15-53-2019,https://doi.org/10.5194/isprs-archives-XLII-4-W15-53-2019, 2019

GEOBIM BENCHMARK 2019: DESIGN AND INITIAL RESULTS

F. Noardo, K. Arroyo Ohori, F. Biljecki, T. Krijnen, C. Ellul, L. Harrie, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1339–1346, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1339-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1339-2019, 2019

AUTOMATIC EXTRACTION OF A NAVIGATION GRAPH INTENDED FOR INDOORGML FROM AN INDOOR POINT CLOUD

P. Flikweert, R. Peters, L. Díaz-Vilariño, R. Voûte, and B. Staats

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 271–278, https://doi.org/10.5194/isprs-annals-IV-2-W5-271-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-271-2019, 2019

PROTOTYPE OF NATIONAL DIGITAL ELEVATION MODEL IN INDONESIA

D. B. Susetyo, Y. A. Lumban-Gaol, and I. Sofian

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 609–613, https://doi.org/10.5194/isprs-archives-XLII-4-609-2018,https://doi.org/10.5194/isprs-archives-XLII-4-609-2018, 2018

PREFACE

K. Arroyo Ohori, A. Labetski, G. Agugiaro, M. Koeva, and J. Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W6, 1–1, https://doi.org/10.5194/isprs-annals-IV-4-W6-1-2018,https://doi.org/10.5194/isprs-annals-IV-4-W6-1-2018, 2018

A FRAMEWORK FOR THE REPRESENTATION OF TWO VERSIONS OF A 3D CITY MODEL IN 4D SPACE

S. Vitalis, K. Arroyo Ohori, and J. Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W6, 81–88, https://doi.org/10.5194/isprs-annals-IV-4-W6-81-2018,https://doi.org/10.5194/isprs-annals-IV-4-W6-81-2018, 2018

PREFACE

K. Arroyo Ohori, A. Labetski, G. Agugiaro, M. Koeva, and J. Stoter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 1–1, https://doi.org/10.5194/isprs-archives-XLII-4-W10-1-2018,https://doi.org/10.5194/isprs-archives-XLII-4-W10-1-2018, 2018

INVESTIGATIONS ON THE BUNDLE ADJUSTMENT RESULTS FROM SFM-BASED SOFTWARE FOR MAPPING PURPOSES

Y. A. Lumban-Gaol, A. Murtiyoso, and B. H. Nugroho

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 623–628, https://doi.org/10.5194/isprs-archives-XLII-2-623-2018,https://doi.org/10.5194/isprs-archives-XLII-2-623-2018, 2018

TOWARDS AN INTEGRATION OF GIS AND BIM DATA: WHAT ARE THE GEOMETRIC AND TOPOLOGICAL ISSUES?

K. Arroyo Ohori, F. Biljecki, A. Diakité, T. Krijnen, H. Ledoux, and J. Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 1–8, https://doi.org/10.5194/isprs-annals-IV-4-W5-1-2017,https://doi.org/10.5194/isprs-annals-IV-4-W5-1-2017, 2017

DEFINING SIMPLE nD OPERATIONS BASED ON PRISMATIC nD OBJECTS

K. Arroyo Ohori, H. Ledoux, and J. Stoter

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W1, 155–162, https://doi.org/10.5194/isprs-annals-IV-2-W1-155-2016,https://doi.org/10.5194/isprs-annals-IV-2-W1-155-2016, 2016

SATELLITE-DERIVED BATHYMETRY USING CONVOLUTIONAL NEURAL NETWORKS AND MULTISPECTRAL SENTINEL-2 IMAGES

Related authors

Useful Links

Useful External Links

Our Contact