Generating Watertight 3D Building Models from Airborne LiDAR Point Clouds using Detection Transformer (DETR)

Kaufhold, Lilli; Kada, Martin

doi:https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-773-2025

Articles | Volume XLVIII-G-2025

Article
Metrics
Related articles

Articles | Volume XLVIII-G-2025

https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-773-2025

Articles | Volume XLVIII-G-2025

Article
Metrics
Related articles

28 Jul 2025

| 28 Jul 2025

Generating Watertight 3D Building Models from Airborne LiDAR Point Clouds using Detection Transformer (DETR)

Lilli Kaufhold and Martin Kada

Lilli Kaufhold

Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, Berlin, Germany

Martin Kada

Institute of Geodesy and Geoinformation Science, Technische Universität Berlin, Berlin, Germany

Related authors

Show only first author papers Show all papers

MLP Feature Extraction from Coordinates for Building Footprint Simplification using Graph Convolutional Networks

Martin Kada, Julien Baerenzung, and Lilli Kaufhold

Abstr. Int. Cartogr. Assoc., 8, 11, https://doi.org/10.5194/ica-abs-8-11-2024,https://doi.org/10.5194/ica-abs-8-11-2024, 2024

MLP Feature Extraction from Coordinates for Building Footprint Simplification using Graph Convolutional Networks

Martin Kada, Julien Baerenzung, and Lilli Kaufhold

Abstr. Int. Cartogr. Assoc., 8, 11, https://doi.org/10.5194/ica-abs-8-11-2024,https://doi.org/10.5194/ica-abs-8-11-2024, 2024

3D RECONSTRUCTION OF SIMPLE BUILDINGS FROM POINT CLOUDS USING NEURAL NETWORKS WITH CONTINUOUS CONVOLUTIONS (CONVPOINT)

M. Kada

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 61–66, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-61-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-61-2022, 2022

DEEP LEARNING FOR 3D BUILDING RECONSTRUCTION: A REVIEW

M. Buyukdemircioglu, S. Kocaman, and M. Kada

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 359–366, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-359-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-359-2022, 2022

DEEP LEARNING BASED BUILDING FOOTPRINT EXTRACTION FROM VERY HIGH RESOLUTION TRUE ORTHOPHOTOS AND NDSM

M. Buyukdemircioglu, R. Can, S. Kocaman, and M. Kada

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 211–218, https://doi.org/10.5194/isprs-annals-V-2-2022-211-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-211-2022, 2022

BUILDING ROOF VECTORIZATION WITH PPGNET

S. Hensel, S. Goebbels, and M. Kada

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W4-2021, 85–90, https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-85-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-85-2021, 2021

ALS POINT CLOUD CLASSIFICATION USING POINTNET++ AND KPCONV WITH PRIOR KNOWLEDGE

M. Kada and D. Kuramin

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W4-2021, 91–96, https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-91-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-91-2021, 2021

GENERATING 3D CITY MODELS BASED ON THE SEMANTIC SEGMENTATION OF LIDAR DATA USING CONVOLUTIONAL NEURAL NETWORKS

A. Agoub, V. Schmidt, and M. Kada

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W8, 3–10, https://doi.org/10.5194/isprs-annals-IV-4-W8-3-2019,https://doi.org/10.5194/isprs-annals-IV-4-W8-3-2019, 2019

Application of Deep Learning for 3D building generalization

Yue Wu, Yevgeniya Filippovska, Valentina Schmidt, and Martin Kada

Proc. Int. Cartogr. Assoc., 2, 147, https://doi.org/10.5194/ica-proc-2-147-2019,https://doi.org/10.5194/ica-proc-2-147-2019, 2019

Automatic Generation of Photorealistic Image Fillers for Privacy Enabled Urban Basemaps using Generative Adversarial Networks

Amgad Agoub, Yevgeniya Filippovska, Valentina Schmidt, and Martin Kada

Adv. Cartogr. GIScience Int. Cartogr. Assoc., 1, 1, https://doi.org/10.5194/ica-adv-1-1-2019,https://doi.org/10.5194/ica-adv-1-1-2019, 2019

FACADE RECONSTRUCTION FOR TEXTURED LOD2 CITYGML MODELS BASED ON DEEP LEARNING AND MIXED INTEGER LINEAR PROGRAMMING

S. Hensel, S. Goebbels, and M. Kada

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 37–44, https://doi.org/10.5194/isprs-annals-IV-2-W5-37-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-37-2019, 2019

A SWEEP-PLANE ALGORITHM FOR THE SIMPLIFICATION OF 3D BUILDING MODELS IN THE APPLICATION SCENARIO OF WIND SIMULATIONS

R. Piepereit, M. Deininger, M. Kada, M. Pries, and U. Voß

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W10, 151–156, https://doi.org/10.5194/isprs-archives-XLII-4-W10-151-2018,https://doi.org/10.5194/isprs-archives-XLII-4-W10-151-2018, 2018

ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION

A. Wichmann, A. Agoub, and M. Kada

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1191–1198, https://doi.org/10.5194/isprs-archives-XLII-2-1191-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1191-2018, 2018

THE URBIS PROJECT: IDENTIFICATION AND CHARACTERIZATION OF POTENTIAL URBAN DEVELOPMENT AREAS AS A WEB-BASED SERVICE

Nina Manzke, Martin Kada, Thomas Kastler, Shaojuan Xu, Norbert de Lange, and Manfred Ehlers

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 227–233, https://doi.org/10.5194/isprs-archives-XLI-B4-227-2016,https://doi.org/10.5194/isprs-archives-XLI-B4-227-2016, 2016

ANIMATION STRATEGIES FOR SMOOTH TRANSFORMATIONS BETWEEN DISCRETE LODS OF 3D BUILDING MODELS

Martin Kada, Andreas Wichmann, Yevgeniya Filippovska, and Tobias Hermes

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 413–420, https://doi.org/10.5194/isprs-archives-XLI-B2-413-2016,https://doi.org/10.5194/isprs-archives-XLI-B2-413-2016, 2016

Generating Watertight 3D Building Models from Airborne LiDAR Point Clouds using Detection Transformer (DETR)

Related authors

Useful Links

Useful External Links

Our Contact