A

Adeleke, A.

• Performance analysis of Bayesian optimised gradient-boosted decision trees for digital elevation model (DEM) error correction: interim results, pages 179–183

Agrafiotis, P.

• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Arnold, M.

• Machine Learning Approaches for Vehicle Counting on Bridges Based on Global Ground-Based Radar Data, pages 1–8

B

Balletti, C.

• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Beyer, D.

• Image-based Deep Learning for the time-dependent prediction of fresh concrete properties, pages 145–152

Bittner, K.

• Unit-level LoD2 Building Reconstruction from Satellite-derived Digital Surface Model and Orthophoto, pages 81–88
• Real-GDSR: Real-World Guided DSM Super-Resolution via Edge-Enhancing Residual Network, pages 185–192
• Rectilinear Building Footprint Regularization Using Deep Learning, pages 217–222

Blaskow, R.

• Structural Health Monitoring of Bridges with Personal Laser Scanning: Segment-based Analysis of systematic Point Cloud Deformations, pages 9–16

Brun, P.

• Sat-SINR: High-Resolution Species Distribution Models Through Satellite Imagery, pages 41–48

Bulatov, D.

• Using Passive Multi-Modal Sensor Data for Thermal Simulation of Urban Surfaces, pages 17–24

C

Calantropio, A.

• Quantitative Evaluation of Color Enhancement Methods for Underwater Photogrammetry in Very Shallow Water: a Case Study, pages 25–32
• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Chiabrando, F.

• Quantitative Evaluation of Color Enhancement Methods for Underwater Photogrammetry in Very Shallow Water: a Case Study, pages 25–32
• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Coenen, M.

• Image-based Deep Learning for the time-dependent prediction of fresh concrete properties, pages 145–152

D

Dollinger, J.

• Sat-SINR: High-Resolution Species Distribution Models Through Satellite Imagery, pages 41–48

E

Elashry, A.

• A Novel Approach to Image Retrieval for Vision-Based Positioning Utilizing Graph Topology, pages 49–56

Elias, M.

• UAS Photogrammetry for Precise Digital Elevation Models of Complex Topography: A Strategy Guide, pages 57–64
• Development and Evaluation of a Two-Staged 3D Keypoint Based Workflow for the Co-Registration of Unstructured Multi-Temporal and Multi-Modal 3D Point Clouds, pages 113–120

Eltner, A.

• UAS Photogrammetry for Precise Digital Elevation Models of Complex Topography: A Strategy Guide, pages 57–64

Estacio, I.

• Open-source automatic extraction of Urban Green Space: Application to assessing improvement in green space access, pages 65–72

F

Fan, W.

• Airborne LiDAR Point Cloud Filtering Algorithm Based on Supervoxel Ground Saliency, pages 73–79

Fauth-Mayer, P.

• Depth Supervised Neural Surface Reconstruction from Airborne Imagery, pages 89–96

Frommholz, D.

• Using Passive Multi-Modal Sensor Data for Thermal Simulation of Urban Surfaces, pages 17–24

G

Giaquinto, A.

• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Gong, J.

• Application of Photogrammetric Computer Vision and Deep Learning in High-Resolution Underwater Mapping: A Case Study of Shallow-Water Coral Reefs, pages 247–254

Gruen, A.

• Application of Photogrammetric Computer Vision and Deep Learning in High-Resolution Underwater Mapping: A Case Study of Shallow-Water Coral Reefs, pages 247–254

Gui, S.

• Unit-level LoD2 Building Reconstruction from Satellite-derived Digital Surface Model and Orthophoto, pages 81–88

H

Haala, N.

• Depth Supervised Neural Surface Reconstruction from Airborne Imagery, pages 89–96
• SLAM for Indoor Mapping of Wide Area Construction Environments, pages 209–216

Hackstein, V.

• Depth Supervised Neural Surface Reconstruction from Airborne Imagery, pages 89–96

Haist, M.

• Image-based Deep Learning for the time-dependent prediction of fresh concrete properties, pages 145–152

Haitz, D.

• The Potential of Neural Radiance Fields and 3D Gaussian Splatting for 3D Reconstruction from Aerial Imagery, pages 97–104

Han, Y.

• UAS Visual Navigation in Large and Unseen Environments via a Meta Agent, pages 105–112

Heipke, C.

• Image-based Deep Learning for the time-dependent prediction of fresh concrete properties, pages 145–152

Helmholz, P.

• Occlusion handling in spatio-temporal object-based image sequence matching, pages 163–170

Hermann, M.

• The Potential of Neural Radiance Fields and 3D Gaussian Splatting for 3D Reconstruction from Aerial Imagery, pages 97–104

Hillemann, M.

• Uncertainty-aware Cross-Entropy for Semantic Segmentation, pages 129–136
• Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation, pages 223–230

Hoover, J.

• Open-source automatic extraction of Urban Green Space: Application to assessing improvement in green space access, pages 65–72

Huang, S.

• A Method for Roof Wireframe Reconstruction Based on Self-Supervised Pretraining, pages 239–246

Huang, X.

• Large Scale and Complex Structure Grotto Digitalization Using Photogrammetric Method: A Case Study of Cave No. 13 in Yungang Grottoes, pages 231–238

I

Isfort, S.

• UAS Photogrammetry for Precise Digital Elevation Models of Complex Topography: A Strategy Guide, pages 57–64
• Development and Evaluation of a Two-Staged 3D Keypoint Based Workflow for the Co-Registration of Unstructured Multi-Temporal and Multi-Modal 3D Point Clouds, pages 113–120

K

Kawasaki, H.

• Accurate Calculation of Tree Stem Traits in Forests Using Localized Multi-View Registration, pages 121–128

Keller, S.

• Machine Learning Approaches for Vehicle Counting on Bridges Based on Global Ground-Based Radar Data, pages 1–8

Komoriya, S.

• Accurate Calculation of Tree Stem Traits in Forests Using Localized Multi-View Registration, pages 121–128

Kottler, B.

• Using Passive Multi-Modal Sensor Data for Thermal Simulation of Urban Surfaces, pages 17–24

L

Landgraf, S.

• Uncertainty-aware Cross-Entropy for Semantic Segmentation, pages 129–136

Langer, A.

• Image-based Deep Learning for the time-dependent prediction of fresh concrete properties, pages 145–152

Li, D.

• Application of Photogrammetric Computer Vision and Deep Learning in High-Resolution Underwater Mapping: A Case Study of Shallow-Water Coral Reefs, pages 247–254

Li, M.

• Application of Photogrammetric Computer Vision and Deep Learning in High-Resolution Underwater Mapping: A Case Study of Shallow-Water Coral Reefs, pages 247–254
• Application of Photogrammetric Computer Vision and Deep Learning in High-Resolution Underwater Mapping: A Case Study of Shallow-Water Coral Reefs, pages 247–254

Li, X.

• Open-source automatic extraction of Urban Green Space: Application to assessing improvement in green space access, pages 65–72

Li, Z.

• Rectilinear Building Footprint Regularization Using Deep Learning, pages 217–222

Lim, C.

• Open-source automatic extraction of Urban Green Space: Application to assessing improvement in green space access, pages 65–72

Lingua, A. M.

• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Liu, F.

• A Novel Hyperspectral Salt Assessment Model for Weathering in Architectural Ruins, pages 201–208

Liu, L.

• Algorithm, Progresses, Datasets and Validation of GLC_FCS30D: the first global 30 m land-cover dynamic product with fine classification system from 1985 to 2022, pages 137–143

Liu, X.

• Airborne LiDAR Point Cloud Filtering Algorithm Based on Supervoxel Ground Saliency, pages 73–79

Luhmann, T.

• Occlusion handling in spatio-temporal object-based image sequence matching, pages 163–170

M

Maas, H.-G.

• Structural Health Monitoring of Bridges with Personal Laser Scanning: Segment-based Analysis of systematic Point Cloud Deformations, pages 9–16
• UAS Photogrammetry for Precise Digital Elevation Models of Complex Topography: A Strategy Guide, pages 57–64
• Development and Evaluation of a Two-Staged 3D Keypoint Based Workflow for the Co-Registration of Unstructured Multi-Temporal and Multi-Modal 3D Point Clouds, pages 113–120

Maduako, I.

• Performance analysis of Bayesian optimised gradient-boosted decision trees for digital elevation model (DEM) error correction: interim results, pages 179–183

Mandlburger, G.

• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Masuda, H.

• Accurate Calculation of Tree Stem Traits in Forests Using Localized Multi-View Registration, pages 121–128

Mehltretter, M.

• Image-based Deep Learning for the time-dependent prediction of fresh concrete properties, pages 145–152
• Depth-Aware Panoptic Segmentation, pages 153–161

Menna, F.

• Quantitative Evaluation of Color Enhancement Methods for Underwater Photogrammetry in Very Shallow Water: a Case Study, pages 25–32
• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Meyer, M.

• Image-based Deep Learning for the time-dependent prediction of fresh concrete properties, pages 145–152

Mills, J.

• Performance analysis of Bayesian optimised gradient-boosted decision trees for digital elevation model (DEM) error correction: interim results, pages 179–183

N

Nguyen, T.

• Depth-Aware Panoptic Segmentation, pages 153–161

Nietiedt, S.

• Occlusion handling in spatio-temporal object-based image sequence matching, pages 163–170

Ning, B.

• Large Scale and Complex Structure Grotto Digitalization Using Photogrammetric Method: A Case Study of Cave No. 13 in Yungang Grottoes, pages 231–238

Niu, W.

• Large Scale and Complex Structure Grotto Digitalization Using Photogrammetric Method: A Case Study of Cave No. 13 in Yungang Grottoes, pages 231–238

Nocerino, E.

• Quantitative Evaluation of Color Enhancement Methods for Underwater Photogrammetry in Very Shallow Water: a Case Study, pages 25–32
• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Novikov, D.

• Vehicle Geolocalization from Drone Imagery, pages 171–178

O

Ogbeta, C.

• Performance analysis of Bayesian optimised gradient-boosted decision trees for digital elevation model (DEM) error correction: interim results, pages 179–183

Okolie, C.

• Performance analysis of Bayesian optimised gradient-boosted decision trees for digital elevation model (DEM) error correction: interim results, pages 179–183

P

Panangian, D.

• Real-GDSR: Real-World Guided DSM Super-Resolution via Edge-Enhancing Residual Network, pages 185–192

Q

Qin, J.

• Application of Photogrammetric Computer Vision and Deep Learning in High-Resolution Underwater Mapping: A Case Study of Shallow-Water Coral Reefs, pages 247–254

Qin, R.

• Unit-level LoD2 Building Reconstruction from Satellite-derived Digital Surface Model and Orthophoto, pages 81–88

Qui, K.

• Using Passive Multi-Modal Sensor Data for Thermal Simulation of Urban Surfaces, pages 17–24

R

Recla, M.

• Deep Learning-based DSM Generation from Dual-Aspect SAR Data, pages 193–200

Ren, Y.

• A Novel Hyperspectral Salt Assessment Model for Weathering in Architectural Ruins, pages 201–208

Ress, V.

• SLAM for Indoor Mapping of Wide Area Construction Environments, pages 209–216

Román-Palacios, C.

• Open-source automatic extraction of Urban Green Space: Application to assessing improvement in green space access, pages 65–72

Roth, A. S.

• The Potential of Neural Radiance Fields and 3D Gaussian Splatting for 3D Reconstruction from Aerial Imagery, pages 97–104

Rothermel, M.

• Depth Supervised Neural Surface Reconstruction from Airborne Imagery, pages 89–96

Rottensteiner, F.

• Depth-Aware Panoptic Segmentation, pages 153–161

S

Sainte Fare Garnot, V.

• Sat-SINR: High-Resolution Species Distribution Models Through Satellite Imagery, pages 41–48

Schack, T.

• Image-based Deep Learning for the time-dependent prediction of fresh concrete properties, pages 145–152

Schmitt, M.

• Deep Learning-based DSM Generation from Dual-Aspect SAR Data, pages 193–200

Schuegraf, P.

• Unit-level LoD2 Building Reconstruction from Satellite-derived Digital Surface Model and Orthophoto, pages 81–88
• Rectilinear Building Footprint Regularization Using Deep Learning, pages 217–222

Shan, J.

• Rectilinear Building Footprint Regularization Using Deep Learning, pages 217–222

Skarlatos, D.

• Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”, pages 33–40

Skuddis, D.

• SLAM for Indoor Mapping of Wide Area Construction Environments, pages 209–216

Smit, J.

• Performance analysis of Bayesian optimised gradient-boosted decision trees for digital elevation model (DEM) error correction: interim results, pages 179–183

Soergel, U.

• SLAM for Indoor Mapping of Wide Area Construction Environments, pages 209–216

Sotirelis, P.

• Vehicle Geolocalization from Drone Imagery, pages 171–178

Strauss, E.

• Using Passive Multi-Modal Sensor Data for Thermal Simulation of Urban Surfaces, pages 17–24

T

Tian, J.

• Rectilinear Building Footprint Regularization Using Deep Learning, pages 217–222

Toth, C.

• A Novel Approach to Image Retrieval for Vision-Based Positioning Utilizing Graph Topology, pages 49–56
• UAS Visual Navigation in Large and Unseen Environments via a Meta Agent, pages 105–112

U

Ulrich, M.

• Uncertainty-aware Cross-Entropy for Semantic Segmentation, pages 129–136
• Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation, pages 223–230

W

Wang, R.

• A Method for Roof Wireframe Reconstruction Based on Self-Supervised Pretraining, pages 239–246

Wang, S.

• Airborne LiDAR Point Cloud Filtering Algorithm Based on Supervoxel Ground Saliency, pages 73–79

Wegner, J. D.

• Sat-SINR: High-Resolution Species Distribution Models Through Satellite Imagery, pages 41–48

Weinmann, M.

• The Potential of Neural Radiance Fields and 3D Gaussian Splatting for 3D Reconstruction from Aerial Imagery, pages 97–104
• The Potential of Neural Radiance Fields and 3D Gaussian Splatting for 3D Reconstruction from Aerial Imagery, pages 97–104

Wursthorn, K.

• Uncertainty-aware Cross-Entropy for Semantic Segmentation, pages 129–136
• Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation, pages 223–230

X

Xiang, H.

• Large Scale and Complex Structure Grotto Digitalization Using Photogrammetric Method: A Case Study of Cave No. 13 in Yungang Grottoes, pages 231–238

Xu, J.

• Large Scale and Complex Structure Grotto Digitalization Using Photogrammetric Method: A Case Study of Cave No. 13 in Yungang Grottoes, pages 231–238

Y

Yang, H.

• A Method for Roof Wireframe Reconstruction Based on Self-Supervised Pretraining, pages 239–246

Yilmaz, A.

• UAS Visual Navigation in Large and Unseen Environments via a Meta Agent, pages 105–112
• Vehicle Geolocalization from Drone Imagery, pages 171–178

Yue, D.

• Airborne LiDAR Point Cloud Filtering Algorithm Based on Supervoxel Ground Saliency, pages 73–79

Z

Zhang, F.

• Large Scale and Complex Structure Grotto Digitalization Using Photogrammetric Method: A Case Study of Cave No. 13 in Yungang Grottoes, pages 231–238

Zhang, W.

• SLAM for Indoor Mapping of Wide Area Construction Environments, pages 209–216

Zhang, X.

• Algorithm, Progresses, Datasets and Validation of GLC_FCS30D: the first global 30 m land-cover dynamic product with fine classification system from 1985 to 2022, pages 137–143

Zhang, Y.

• Airborne LiDAR Point Cloud Filtering Algorithm Based on Supervoxel Ground Saliency, pages 73–79

Zhong, J.

• Airborne LiDAR Point Cloud Filtering Algorithm Based on Supervoxel Ground Saliency, pages 73–79
• Application of Photogrammetric Computer Vision and Deep Learning in High-Resolution Underwater Mapping: A Case Study of Shallow-Water Coral Reefs, pages 247–254