A

Agugiaro, G.

• A proposal to update and enhance the CityGML Energy Application Domain Extension, pages 1–8
• Introducing server-side support for 3DCityDB 5.0 to the 3DCityDB-Tools plug-in for QGIS, pages 193–200
• From point clouds to CityGML 3.0: An approach to multi-granular urban road modelling, pages 201–208

Anzai, S.

• Development of the Standard Data Product Specification for 3D City Models Using CityGML, pages 129–136

Arzoumanidis, L.

• Object Detection for the Enrichment of Semantic 3D City Models with Roofing Materials, pages 9–16

B

Behan, A.

• Evaluating and Enhancing Georeferencing Accuracy in BIM and 3D GIS Models for Built Environment Digital Twins, pages 161–168

Beil, C.

• Automatic Transformation of Semantic 2D Lane Models into 3D CityGML Representations, pages 57–64

Bieringer, A.

• CM2LoD3: Reconstructing LoD3 Building Models Using Semantic Conflict Maps, pages 81–88

Biljecki, F.

• Evaluating the development of open 3D city models: a multidimensional assessment, pages 137–144

Billen, R.

• Automatic Detection, 3D Localization, and Semantic Enrichment of Commercial Signboards Using 360° Mobile Mapping Imagery: A Case Study in Temara, Morocco, pages 73–80

Bong, A.

• Digital Urban Twins for heavy rain events - An open source QGIS plugin for machine learning classification of residential buildings using CityGML with additional datasets, pages 25–32

Breunig, M.

• A Comprehensive Temporal Model for Geometric and Topological Data Management in 3D Space, pages 121–128

Bulatov, D.

• Unsupervised Domain Adaptation for Remote Sensing Data Classification Model Transfer, pages 17–24
• Elevation Guided Global and Local Smoothness for Unsupervised Semantic Segmentation in Remote Sensing Imagery, pages 177–184

Burmeister, J.-M.

• Evaluation of Input Sampling Methods for Deep-Learning-Based Semantic Segmentation of Large-Scale 3D Point Clouds, pages 49–56

Böge, M.

• Unsupervised Domain Adaptation for Remote Sensing Data Classification Model Transfer, pages 17–24

C

Ceccarelli, G.

• Semantic segmentation of point clouds with the 3D medial axis transform, pages 33–40

Chadraa, I.

• Partial Optimal Transport for Co-Registration of Partially-Overlapped Point Clouds, pages 41–48

Ciprián-Sánchez, J. F.

• Evaluation of Input Sampling Methods for Deep-Learning-Based Semantic Segmentation of Large-Scale 3D Point Clouds, pages 49–56

Clemen, C.

• Digital Urban Twins for heavy rain events - An open source QGIS plugin for machine learning classification of residential buildings using CityGML with additional datasets, pages 25–32

D

Danjo, T.

• Resolution of a Texture Image Mapped on a Building Surface of a 3D City Model, pages 89–96

Dehbi, Y.

• Object Detection for the Enrichment of Semantic 3D City Models with Roofing Materials, pages 9–16

Deisling, E.

• Unsupervised Domain Adaptation for Remote Sensing Data Classification Model Transfer, pages 17–24

Deng, Z.

• Automatic Transformation of Semantic 2D Lane Models into 3D CityGML Representations, pages 57–64
• CityGML 3.0 as a Hub: Integrating BIM, GIS, and Point Cloud Data for 3D Streetspace Modeling Comprising Roads, Bridges and Tunnels, pages 65–72

Doi, H.

• Automatic Detection, 3D Localization, and Semantic Enrichment of Commercial Signboards Using 360° Mobile Mapping Imagery: A Case Study in Temara, Morocco, pages 73–80

Díaz Vilariño, L.

• From point clouds to CityGML 3.0: An approach to multi-granular urban road modelling, pages 201–208

Döllner, J.

• Evaluation of Input Sampling Methods for Deep-Learning-Based Semantic Segmentation of Large-Scale 3D Point Clouds, pages 49–56

F

Fernández, A.

• From point clouds to CityGML 3.0: An approach to multi-granular urban road modelling, pages 201–208

G

Gao, W.

• Semantic segmentation of point clouds with the 3D medial axis transform, pages 33–40
• RoofSense: A Multimodal Semantic Segmentation Dataset for Roofing Material Classification, pages 153–160
• Enriching LoD2 Building Models with Façade Openings Using Oblique Imagery, pages 225–232

H

Hajji, R.

• Automatic Detection, 3D Localization, and Semantic Enrichment of Commercial Signboards Using 360° Mobile Mapping Imagery: A Case Study in Temara, Morocco, pages 73–80

Hanke, F.

• CM2LoD3: Reconstructing LoD3 Building Models Using Semantic Conflict Maps, pages 81–88

Hijazi, I.

• Automatic Transformation of Semantic 2D Lane Models into 3D CityGML Representations, pages 57–64
• CityGML 3.0 as a Hub: Integrating BIM, GIS, and Point Cloud Data for 3D Streetspace Modeling Comprising Roads, Bridges and Tunnels, pages 65–72

Hoegner, L.

• A Method for Crack Detection and Quantification in Masonry Using Neural Network-Based Image Analysis, pages 113–119

Häufel, G.

• Unsupervised Domain Adaptation for Remote Sensing Data Classification Model Transfer, pages 17–24

I

Inazawa, T.

• Resolution of a Texture Image Mapped on a Building Surface of a 3D City Model, pages 89–96

Ishikawa, M.

• Resolution of a Texture Image Mapped on a Building Surface of a 3D City Model, pages 89–96

Iwaszczuk, D.

• Elevation Guided Global and Local Smoothness for Unsupervised Semantic Segmentation in Remote Sensing Imagery, pages 177–184

J

Jahn, M. W.

• Towards a domain specific graph query language for the geoscience - implementing a GeoGQL -, pages 97–104

Jeddoub, I.

• Automatic Detection, 3D Localization, and Semantic Enrichment of Commercial Signboards Using 360° Mobile Mapping Imagery: A Case Study in Temara, Morocco, pages 73–80

Johannsen, L.

• Object Detection for the Enrichment of Semantic 3D City Models with Roofing Materials, pages 9–16

Jutzi, B.

• CM2LoD3: Reconstructing LoD3 Building Models Using Semantic Conflict Maps, pages 81–88
• Impact of Rain on 3D Reconstruction with Multi-View Stereo, Neural Radiance Fields and Gaussian Splatting, pages 169–176
• GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction, pages 249–256

K

Kanna, K.

• Automatic Enrichment of Semantic 3D City Models using Large Language Models, pages 105–112

Kawamata, F.

• Resolution of a Texture Image Mapped on a Building Surface of a 3D City Model, pages 89–96

Kendir, M.

• The New 3D City Database 5.0 - Advancing 3D City Data Management based on CityGML 3.0, pages 241–248

Kolbe, T. H.

• Automatic Transformation of Semantic 2D Lane Models into 3D CityGML Representations, pages 57–64
• CityGML 3.0 as a Hub: Integrating BIM, GIS, and Point Cloud Data for 3D Streetspace Modeling Comprising Roads, Bridges and Tunnels, pages 65–72
• Automatic Enrichment of Semantic 3D City Models using Large Language Models, pages 105–112
• The New 3D City Database 5.0 - Advancing 3D City Data Management based on CityGML 3.0, pages 241–248

Krefft, L.

• A Method for Crack Detection and Quantification in Masonry Using Neural Network-Based Image Analysis, pages 113–119

Kuper, P.

• A Comprehensive Temporal Model for Geometric and Topological Data Management in 3D Space, pages 121–128

Kurokawa, C.

• Development of the Standard Data Product Specification for 3D City Models Using CityGML, pages 129–136

L

Laefer, D. F.

• Partial Optimal Transport for Co-Registration of Partially-Overlapped Point Clouds, pages 41–48

Ledoux, H.

• RoofSense: A Multimodal Semantic Segmentation Dataset for Roofing Material Classification, pages 153–160

Lee, J. B.

• The Influence of 3D Motions on the Efficiency of Children’s Indoor Evacuations, pages 233–240

Lei, B.

• Evaluating the development of open 3D city models: a multidimensional assessment, pages 137–144

Leon-Sanchez, C.

• Introducing server-side support for 3DCityDB 5.0 to the 3DCityDB-Tools plug-in for QGIS, pages 193–200

Li, S.

• Predicting land surface temperature by different climate classification methods: A case study of Singapore, pages 209–216

Li, W.

• Object Detection for the Enrichment of Semantic 3D City Models with Roofing Materials, pages 9–16

Liao, L.

• BldgWeaver: An appearance-contingent generation solution with a three-dimensional automated creation of building digital cousins model using pre-trained transformer architecture, pages 145–152
• Virtual 3D City Model Generation in CityGML, pages 257–264

Liu, R.

• A Comprehensive Temporal Model for Geometric and Topological Data Management in 3D Space, pages 121–128

M

Mantas, D.

• RoofSense: A Multimodal Semantic Segmentation Dataset for Roofing Material Classification, pages 153–160

Matsuoka, R.

• Resolution of a Texture Image Mapped on a Building Surface of a 3D City Model, pages 89–96

McAuley, B.

• Evaluating and Enhancing Georeferencing Accuracy in BIM and 3D GIS Models for Built Environment Digital Twins, pages 161–168

Mebus Kishi de Oliveira, I.

• Elevation Guided Global and Local Smoothness for Unsupervised Semantic Segmentation in Remote Sensing Imagery, pages 177–184

Minegami, Y.

• Development of the Standard Data Product Specification for 3D City Models Using CityGML, pages 129–136

Mohammed, P.

• Evaluating and Enhancing Georeferencing Accuracy in BIM and 3D GIS Models for Built Environment Digital Twins, pages 161–168

N

Nagel, C.

• Introducing server-side support for 3DCityDB 5.0 to the 3DCityDB-Tools plug-in for QGIS, pages 193–200
• The New 3D City Database 5.0 - Advancing 3D City Data Management based on CityGML 3.0, pages 241–248

Nakanishi, Y.

• Resolution of a Texture Image Mapped on a Building Surface of a 3D City Model, pages 89–96

Nguyen, S. H.

• Object Detection for the Enrichment of Semantic 3D City Models with Roofing Materials, pages 9–16

O

O'Sullivan, D.

• Evaluating and Enhancing Georeferencing Accuracy in BIM and 3D GIS Models for Built Environment Digital Twins, pages 161–168

Ochoa Ruiz, G.

• Evaluation of Input Sampling Methods for Deep-Learning-Based Semantic Segmentation of Large-Scale 3D Point Clouds, pages 49–56

Ogawa, Y.

• BldgWeaver: An appearance-contingent generation solution with a three-dimensional automated creation of building digital cousins model using pre-trained transformer architecture, pages 145–152
• Virtual 3D City Model Generation in CityGML, pages 257–264

P

Padsala, R.

• A proposal to update and enhance the CityGML Energy Application Domain Extension, pages 1–8

Peters, R.

• Semantic segmentation of point clouds with the 3D medial axis transform, pages 33–40

Petrovska, I.

• Impact of Rain on 3D Reconstruction with Multi-View Stereo, Neural Radiance Fields and Gaussian Splatting, pages 169–176

Q

Qiu, K.

• Unsupervised Domain Adaptation for Remote Sensing Data Classification Model Transfer, pages 17–24
• Elevation Guided Global and Local Smoothness for Unsupervised Semantic Segmentation in Remote Sensing Imagery, pages 177–184

R

Richter, R.

• Evaluation of Input Sampling Methods for Deep-Learning-Based Semantic Segmentation of Large-Scale 3D Point Clouds, pages 49–56

Rothaut, F.

• Object Detection for the Enrichment of Semantic 3D City Models with Roofing Materials, pages 9–16

S

Sekimoto, Y.

• Development of the Standard Data Product Specification for 3D City Models Using CityGML, pages 129–136
• BldgWeaver: An appearance-contingent generation solution with a three-dimensional automated creation of building digital cousins model using pre-trained transformer architecture, pages 145–152
• Virtual 3D City Model Generation in CityGML, pages 257–264

Sogawa, Y.

• Development of the Standard Data Product Specification for 3D City Models Using CityGML, pages 129–136

Stoter, J.

• Enriching LoD2 Building Models with Façade Openings Using Oblique Imagery, pages 225–232

Stouffs, R.

• Predicting land surface temperature by different climate classification methods: A case study of Singapore, pages 209–216

T

Tabak, E.

• Partial Optimal Transport for Co-Registration of Partially-Overlapped Point Clouds, pages 41–48

Takada, M.

• Resolution of a Texture Image Mapped on a Building Surface of a 3D City Model, pages 89–96

Teo, T.-A.

• Heterogeneous Point Clouds Matching using Supervoxel Signatures from a Deep Neural Network Autoencoder, pages 217–224

Teuscher, B.

• A Taxonomy of Point Cloud Search, pages 185–192

Tsai, B.-S.

• Introducing server-side support for 3DCityDB 5.0 to the 3DCityDB-Tools plug-in for QGIS, pages 193–200

Tsiranidou, E.

• From point clouds to CityGML 3.0: An approach to multi-granular urban road modelling, pages 201–208

W

Walther, P.

• A Taxonomy of Point Cloud Search, pages 185–192

Wang, J.

• A Taxonomy of Point Cloud Search, pages 185–192
• Predicting land surface temperature by different climate classification methods: A case study of Singapore, pages 209–216

Wen, T.-H.

• Heterogeneous Point Clouds Matching using Supervoxel Signatures from a Deep Neural Network Autoencoder, pages 217–224

Werner, M.

• A Taxonomy of Point Cloud Search, pages 185–192

Willenborg, B.

• The New 3D City Database 5.0 - Advancing 3D City Data Management based on CityGML 3.0, pages 241–248

Wysocki, O.

• CM2LoD3: Reconstructing LoD3 Building Models Using Semantic Conflict Maps, pages 81–88
• GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction, pages 249–256

X

Xia, Y.

• Enriching LoD2 Building Models with Façade Openings Using Oblique Imagery, pages 225–232

Xie, R.

• The Influence of 3D Motions on the Efficiency of Children’s Indoor Evacuations, pages 233–240

Y

Yao, Z.

• Introducing server-side support for 3DCityDB 5.0 to the 3DCityDB-Tools plug-in for QGIS, pages 193–200
• The New 3D City Database 5.0 - Advancing 3D City Data Management based on CityGML 3.0, pages 241–248

Z

Zhang, Q.

• GS4Buildings: Prior-Guided Gaussian Splatting for 3D Building Reconstruction, pages 249–256

Zhao, C.

• BldgWeaver: An appearance-contingent generation solution with a three-dimensional automated creation of building digital cousins model using pre-trained transformer architecture, pages 145–152
• Virtual 3D City Model Generation in CityGML, pages 257–264

Zlatanova, S.

• The Influence of 3D Motions on the Efficiency of Children’s Indoor Evacuations, pages 233–240