A

Abenoja, A.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Agrawal, S.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Ali, K.

• Multi-Sensor Deep Learning Framework for LST Downscaling and Scaling Effect Assessment in Heterogeneous Urban Landscapes, pages 1–8

B

Bassier, M.

• CityJSON LOD3.3 Enrichment Using Zero-Shot Learning on Mobile Mapping Data, pages 59–66

Baścik, M.

• Updating hierarchical 3D models for P&ID purposes using LiDAR point clouds, pages 9–15

Beber, R.

• Long-Term Monitoring of Small Displacements of Infrastructures with a Low-Cost GNSS Device, pages 17–24

Beltran, A.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Berger, R.

• Adaptable Siemens Star Targets for Reliable and Standardized Spatial Resolution Measurement under DIN 18740-8, pages 139–146

Bermeo, B.

• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168

Bocaux, L.

• A multi-sensor multi-resolution dataset to support forest inventory methods, pages 33–40

Boehm, J.

• Exploring modern end-to-end AI-based multi-view 3D reconstruction, pages 91–97

Brenner, C.

• A Multi-Scenario Dataset for Long-Term Indoor Localization and Pedestrian Behavior Analysis in Dynamic Environments, pages 155–162

Brito-Parada, P.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Bryan, P.

• Multi-Modal and Multi-Sensor Photogrammetric Data Fusion Exploiting a New Repository for Infrared Thermography Datasets, pages 235–242

Bulan, J.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105
• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168

Bulan, J. A.

• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45

Büyükdemircioğlu, M.

• Benchmarking Vectorized Building Footprint Extraction from Very High Resolution Aerial Imagery, pages 47–54

Będkowski, J.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32

Le Bihan, E.

• A new benchmark on LoD 2 building reconstruction from aerial lidar and footprints, pages 83–90

C

Cadondon, J.

• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45
• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105
• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168

Caido, N. G.

• Evaluating Machine Learning Methods for PM_2.5 Estimation of GEMS Satellite AOD Data, pages 55–58

Calli, R.

• Examination of the Relationship Between Surface Temperature and Spectral Land Cover Indices for Different Köppen Climate Classes, pages 169–174

Castilla, R.

• Comparative Study of YOLOv10, YOLOv11 and YOLOv12 Lightweight Models for Multi-Class Maritime Search and Rescue Using UAV Imagery, pages 199–204

Clementini, E.

• Multi-Sensor Deep Learning Framework for LST Downscaling and Scaling Effect Assessment in Heterogeneous Urban Landscapes, pages 1–8

Cuypers, S.

• CityJSON LOD3.3 Enrichment Using Zero-Shot Learning on Mobile Mapping Data, pages 59–66

D

Dammert, L.

• Evaluating bathymetric LiDAR accuracy with different sources of reference data, pages 191–197

Deblock, E.

• CityJSON LOD3.3 Enrichment Using Zero-Shot Learning on Mobile Mapping Data, pages 59–66

Duan, L.

• A new benchmark on LoD 2 building reconstruction from aerial lidar and footprints, pages 83–90

Duan, Y.

• A High-Precision Positioning Method Without Ground Control Points for Mosaic Aerial Survey Camera, pages 259–264

E

Eid, M.

• Long-Term Monitoring of Small Displacements of Infrastructures with a Low-Cost GNSS Device, pages 17–24

Eid, M. O.

• Assessing the photogrammetric potential of a smartphone device with integrated dual-frequency GNSS, pages 67–73

Esmeria Jr., J.

• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168

F

Fanta-Jende, P.

• egenioussBench: A New Dataset for Geospatial Visual Localisation, pages 75–82

Farella, E. M.

• Benchmarking Vectorized Building Footprint Extraction from Very High Resolution Aerial Imagery, pages 47–54

G

Galvez, M. C.

• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45
• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105
• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168
• Comparative Study of YOLOv10, YOLOv11 and YOLOv12 Lightweight Models for Multi-Class Maritime Search and Rescue Using UAV Imagery, pages 199–204

Galvez, M. C. D.

• Evaluating Machine Learning Methods for PM_2.5 Estimation of GEMS Satellite AOD Data, pages 55–58

Geniet, F.

• A new benchmark on LoD 2 building reconstruction from aerial lidar and footprints, pages 83–90

Gerke, M.

• egenioussBench: A New Dataset for Geospatial Visual Localisation, pages 75–82

Girard, N.

• A new benchmark on LoD 2 building reconstruction from aerial lidar and footprints, pages 83–90

Gonzales, M.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Goo, J. M.

• Exploring modern end-to-end AI-based multi-view 3D reconstruction, pages 91–97

Gueguen, L.-A.

• Evaluating bathymetric LiDAR accuracy with different sources of reference data, pages 191–197

H

Harmening, C.

• Quantitative Evaluation of Angular, Range, and Reflectance Influences on Laser scanners Using a High-Precision Linear Rail Test System, pages 219–225

Holst, C.

• Segment-wise ICP for Enhanced Point Cloud Registration in Low-Cost Photogrammetric Landslide Monitoring, pages 123–129
• Point-level Uncertainty Evaluation of Mobile Laser Scanning Point Clouds, pages 243–249

I

Iwaszczuk, D.

• Comparison of manual and semi-automated synthetic training data creation for individual tree crown delineation, pages 227–233

J

Jao, J.

• Comparative Study of YOLOv10, YOLOv11 and YOLOv12 Lightweight Models for Multi-Class Maritime Search and Rescue Using UAV Imagery, pages 199–204

Jao, J. R.

• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45
• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Jarząbek-Rychard, M.

• Evaluating bathymetric LiDAR accuracy with different sources of reference data, pages 191–197

K

Kada, M.

• Benchmarking Vectorized Building Footprint Extraction from Very High Resolution Aerial Imagery, pages 47–54

Kasza, D.

• Analysis of morphological changes under controlled environmental conditions using UAV image-based bathymetry in very shallow waters, pages 115–121

Kemand, A.

• Comparison of mobile laser scanning systems for component-based scan-to-BIM evaluation: NavVis VLX2, XGRIDS L2 Pro, and XGRIDS K1, pages 213–218

Kern, A.

• egenioussBench: A New Dataset for Geospatial Visual Localisation, pages 75–82

Kersten, T. P.

• Investigations on the Geometric Accuracy of the NavVis VLX 2 and VLX 3 Systems for the Use in Indoor Applications, pages 107–114

Klapa, P.

• Procedure and Accuracy Assessment Results of Livox MID-360 Scanners, pages 147–154

Kocaman, S.

• Benchmarking Vectorized Building Footprint Extraction from Very High Resolution Aerial Imagery, pages 47–54

Kogut, T.

• Evaluating bathymetric LiDAR accuracy with different sources of reference data, pages 191–197

Kostrzewa, A.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32

Kujawa, P.

• Analysis of morphological changes under controlled environmental conditions using UAV image-based bathymetry in very shallow waters, pages 115–121

L

Ladrido, E.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Lekston, P.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32

Lesidan, J. R.

• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45
• Evaluating Machine Learning Methods for PM_2.5 Estimation of GEMS Satellite AOD Data, pages 55–58
• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105
• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168

Lingua, A. M.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Liu, X.

• A High-Precision Positioning Method Without Ground Control Points for Mosaic Aerial Survey Camera, pages 259–264

Loeper, Y.

• egenioussBench: A New Dataset for Geospatial Visual Localisation, pages 75–82

Lucks, L.

• Segment-wise ICP for Enhanced Point Cloud Registration in Low-Cost Photogrammetric Landslide Monitoring, pages 123–129

M

Ma, Z.

• A multi-sensor multi-resolution dataset to support forest inventory methods, pages 33–40

Majek, K.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32

Malek, S.

• Benchmarking Vectorized Building Footprint Extraction from Very High Resolution Aerial Imagery, pages 47–54

Malkwitz, A.

• Comparison of mobile laser scanning systems for component-based scan-to-BIM evaluation: NavVis VLX2, XGRIDS L2 Pro, and XGRIDS K1, pages 213–218

Mandlburger, G.

• Evaluating bathymetric LiDAR accuracy with different sources of reference data, pages 191–197

Markiewicz, J.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32

Marsh, S.

• Multi-Modal and Multi-Sensor Photogrammetric Data Fusion Exploiting a New Repository for Infrared Thermography Datasets, pages 235–242

Marsmann, M.

• Investigations on the Geometric Accuracy of the NavVis VLX 2 and VLX 3 Systems for the Use in Indoor Applications, pages 107–114

Matecki, M.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32

Matrone, F.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Meißner, H.

• Adaptable Siemens Star Targets for Reliable and Standardized Spatial Resolution Measurement under DIN 18740-8, pages 139–146

Mills, J.

• Multi-Modal and Multi-Sensor Photogrammetric Data Fusion Exploiting a New Repository for Infrared Thermography Datasets, pages 235–242

Mitka, B.

• Procedure and Accuracy Assessment Results of Livox MID-360 Scanners, pages 147–154

Morelli, L.

• Long-Term Monitoring of Small Displacements of Infrastructures with a Low-Cost GNSS Device, pages 17–24
• Assessing the photogrammetric potential of a smartphone device with integrated dual-frequency GNSS, pages 67–73
• Exploring modern end-to-end AI-based multi-view 3D reconstruction, pages 91–97
• Multi-Modal and Multi-Sensor Photogrammetric Data Fusion Exploiting a New Repository for Infrared Thermography Datasets, pages 235–242

Mortazavi, F. S.

• A Multi-Scenario Dataset for Long-Term Indoor Localization and Pedestrian Behavior Analysis in Dynamic Environments, pages 155–162

Mrozowski, K.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32

Murtiyoso, A.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

N

Neolpes, J.

• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168

Nurunnabi, A.

• Towards Precise Building Models: LOD Generation from Airborne Multi-Source Point Clouds, pages 183–189

O

Ok, A. Ö.

• Stereo Matching and Digital Surface Model Generation for Satellite Imagery: From Scanline Aggregation to Deep Learning with RAFTStereo, pages 205–211

Orbecido, A.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Ozdemir, E.

• Examination of the Relationship Between Surface Temperature and Spectral Land Cover Indices for Different Köppen Climate Classes, pages 169–174

P

Padkan, N.

• Evaluating Monocular Depth Estimation Methods on Industrial Objects, pages 175–181

Pande, H.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Parvaz, S.

• Towards Precise Building Models: LOD Generation from Airborne Multi-Source Point Clouds, pages 183–189

Patrizi, R.

• Multi-Sensor Deep Learning Framework for LST Downscaling and Scaling Effect Assessment in Heterogeneous Urban Landscapes, pages 1–8

Pe, S.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Peters, R.

• A new benchmark on LoD 2 building reconstruction from aerial lidar and footprints, pages 83–90

Pełka, M.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32

Pfennigbauer, M.

• Evaluating bathymetric LiDAR accuracy with different sources of reference data, pages 191–197

Plancherel, Y.

• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45
• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Prasow Emond, M.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Pöppl, F.

• Evaluating bathymetric LiDAR accuracy with different sources of reference data, pages 191–197

R

Remondino, F.

• Long-Term Monitoring of Small Displacements of Infrastructures with a Low-Cost GNSS Device, pages 17–24
• A multi-sensor multi-resolution dataset to support forest inventory methods, pages 33–40
• Benchmarking Vectorized Building Footprint Extraction from Very High Resolution Aerial Imagery, pages 47–54
• Assessing the photogrammetric potential of a smartphone device with integrated dual-frequency GNSS, pages 67–73
• Exploring modern end-to-end AI-based multi-view 3D reconstruction, pages 91–97
• Evaluating Monocular Depth Estimation Methods on Industrial Objects, pages 175–181
• Multi-Modal and Multi-Sensor Photogrammetric Data Fusion Exploiting a New Repository for Infrared Thermography Datasets, pages 235–242
• Evaluating 3D Gaussian Splatting for Urban Scene Reconstruction, pages 251–258

Rhomberg-Kauert, J.

• Evaluating bathymetric LiDAR accuracy with different sources of reference data, pages 191–197

S

Sanchez Aparicio, L. J.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Santamaria Maestro, R.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Santic, M.

• Multi-Sensor Deep Learning Framework for LST Downscaling and Scaling Effect Assessment in Heterogeneous Urban Landscapes, pages 1–8

Sanz-Honrado, P.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Satore, J. L.

• Comparative Study of YOLOv10, YOLOv11 and YOLOv12 Lightweight Models for Multi-Class Maritime Search and Rescue Using UAV Imagery, pages 199–204

Sayın, Y. N.

• Stereo Matching and Digital Surface Model Generation for Satellite Imagery: From Scanline Aggregation to Deep Learning with RAFTStereo, pages 205–211

Schimansky, T.

• A Multi-Scenario Dataset for Long-Term Indoor Localization and Pedestrian Behavior Analysis in Dynamic Environments, pages 155–162

Schwarz, R.

• Evaluating bathymetric LiDAR accuracy with different sources of reference data, pages 191–197

Sekertekin, A.

• Examination of the Relationship Between Surface Temperature and Spectral Land Cover Indices for Different Köppen Climate Classes, pages 169–174

Sester, M.

• A Multi-Scenario Dataset for Long-Term Indoor Localization and Pedestrian Behavior Analysis in Dynamic Environments, pages 155–162

Seth Tiwari, P.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Sevenich, J.

• Comparison of mobile laser scanning systems for component-based scan-to-BIM evaluation: NavVis VLX2, XGRIDS L2 Pro, and XGRIDS K1, pages 213–218

Shao, Y.

• Evaluating 3D Gaussian Splatting for Urban Scene Reconstruction, pages 251–258

Shiina, T.

• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45

Song, J.

• Quantitative Evaluation of Angular, Range, and Reflectance Influences on Laser scanners Using a High-Precision Linear Rail Test System, pages 219–225

Sridhar, M.

• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Steier, J.

• Comparison of manual and semi-automated synthetic training data creation for individual tree crown delineation, pages 227–233

Sutherland, N.

• Multi-Modal and Multi-Sensor Photogrammetric Data Fusion Exploiting a New Repository for Infrared Thermography Datasets, pages 235–242

Séguin, E.

• A new benchmark on LoD 2 building reconstruction from aerial lidar and footprints, pages 83–90

T

Tabafa, M. N.

• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168

Takhtkeshha, N.

• A multi-sensor multi-resolution dataset to support forest inventory methods, pages 33–40

Teferle, F. N.

• Towards Precise Building Models: LOD Generation from Airborne Multi-Source Point Clouds, pages 183–189

Trybała, P.

• Long-Term Monitoring of Small Displacements of Infrastructures with a Low-Cost GNSS Device, pages 17–24

V

Vallar, E.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105
• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168
• Comparative Study of YOLOv10, YOLOv11 and YOLOv12 Lightweight Models for Multi-Class Maritime Search and Rescue Using UAV Imagery, pages 199–204

Vallar, E. A.

• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45
• Evaluating Machine Learning Methods for PM_2.5 Estimation of GEMS Satellite AOD Data, pages 55–58

Vallet, B.

• A new benchmark on LoD 2 building reconstruction from aerial lidar and footprints, pages 83–90

Verelst, J.

• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45

Villante, C.

• Multi-Sensor Deep Learning Framework for LST Downscaling and Scaling Effect Assessment in Heterogeneous Urban Landscapes, pages 1–8

Vultaggio, F.

• egenioussBench: A New Dataset for Geospatial Visual Localisation, pages 75–82

W

Wajs, J.

• Analysis of morphological changes under controlled environmental conditions using UAV image-based bathymetry in very shallow waters, pages 115–121

Warchoł, A.

• Updating hierarchical 3D models for P&ID purposes using LiDAR point clouds, pages 9–15

Wei, J.

• A Multi-Scenario Dataset for Long-Term Indoor Localization and Pedestrian Behavior Analysis in Dynamic Environments, pages 155–162

Wu, H.

• A Multi-Scenario Dataset for Long-Term Indoor Localization and Pedestrian Behavior Analysis in Dynamic Environments, pages 155–162

Wu, W.

• Ground Truthing Strategies for Automatic Tree Crown Segmentation of Mangrove Forests Along the Batangas Coastline, Philippines using High-Resolution Imagery and Deep Learning, pages 99–105

Wysocki, O.

• Point-level Uncertainty Evaluation of Mobile Laser Scanning Point Clouds, pages 243–249

Własiuk, M.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32

X

Xu, Z.

• Point-level Uncertainty Evaluation of Mobile Laser Scanning Point Clouds, pages 243–249

Y

Yan, Z.

• Evaluating Monocular Depth Estimation Methods on Industrial Objects, pages 175–181
• Evaluating 3D Gaussian Splatting for Urban Scene Reconstruction, pages 251–258

Yildiz, M. C.

• Examination of the Relationship Between Surface Temperature and Spectral Land Cover Indices for Different Köppen Climate Classes, pages 169–174

Yin, M.

• Evaluating 3D Gaussian Splatting for Urban Scene Reconstruction, pages 251–258

Yu, C.

• A High-Precision Positioning Method Without Ground Control Points for Mosaic Aerial Survey Camera, pages 259–264

Z

Zeng, Z.

• Exploring modern end-to-end AI-based multi-view 3D reconstruction, pages 91–97

Ł

Łapiński, S.

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32