3

3D

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

3D Gaussian Splatting

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

3D Reconstruction

• 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

3D forestry

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

3D models

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

A

ARTMO

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

ASTER

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

Accuracy assessment

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

Airborne Sensor

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

Algae

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

accuracy

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

aerosol optical depth

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

air quality

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

architectural heritage

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

architecture

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

B

BIM

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

Bathymetry

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

Benchmark

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

Building Footprint

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

Building reconstruction

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

Bundle Adjustment

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

Bundle adjustment

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

bathymetric LiDAR

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

benchmark

• The benchmark of LiDAR odometry algorithms utilised for a low-cost mobile mapping system, pages 25–32
• A new benchmark on LoD 2 building reconstruction from aerial lidar and footprints, pages 83–90

building documentation

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

building footprints

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

C

City Model

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

City Modeling

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

CityGML

• CityJSON LOD3.3 Enrichment Using Zero-Shot Learning on Mobile Mapping Data, pages 59–66
• A new benchmark on LoD 2 building reconstruction from aerial lidar and footprints, pages 83–90

Cloud control

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

Collimation axis calibration

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

cultural heritage

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

D

DSM Generation

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

Deep Learning

• Multi-Sensor Deep Learning Framework for LST Downscaling and Scaling Effect Assessment in Heterogeneous Urban Landscapes, pages 1–8
• Benchmarking Vectorized Building Footprint Extraction from Very High Resolution Aerial Imagery, pages 47–54
• CityJSON LOD3.3 Enrichment Using Zero-Shot Learning on Mobile Mapping Data, pages 59–66
• egenioussBench: A New Dataset for Geospatial Visual Localisation, pages 75–82
• Exploring modern end-to-end AI-based multi-view 3D reconstruction, pages 91–97

Deposition

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

Digital twin

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

Dynamic Environments

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

data accuracy

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

data fusion

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

dataset

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

deep learning

• 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

displacement

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

dual-frequency

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

E

Erosion

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

Error Quantification

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

F

Fluorescence Spectroscopy

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

Foundation Model

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

forest monitoring

• 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

G

GCP-free

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

GEMS satellite

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

GIS

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

GNSS

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

GNSS-Assisted Photogrammetry

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

General evaluation

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

GeoAI

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

Geospatial Mesh

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

Ground-Truthing

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

H

Hamamatsu C12880MA

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

High-precision

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

I

Image Orientation

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

Image Quality Assessment

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

Individual Tree Crown Delineation

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

Individual Tree Detection

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

Indoor Localization

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

InfraRed Thermography (IRT)

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

L

LST

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

LST Downscaling

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

Laser scanner

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

LiDAR

• Updating hierarchical 3D models for P&ID purposes using LiDAR point clouds, pages 9–15
• A multi-sensor multi-resolution dataset to support forest inventory methods, pages 33–40
• Procedure and Accuracy Assessment Results of Livox MID-360 Scanners, pages 147–154
• Towards Precise Building Models: LOD Generation from Airborne Multi-Source Point Clouds, pages 183–189

LiDAR Dataset

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

LiVOX MID360

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

LightGlue

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

Line Segment Detection

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

Livox MID-360

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

LoD2

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

Long-Term Localization

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

Low-Cost

• 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

Low-cost laser scanners

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

lidar

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

low-cost

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

M

M3C2

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

MODIS

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

Machine Learning

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

Manual Labeling

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

Maritime object detection

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

Mobile Mapping

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

Mobile laser scanners

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

Monocular Depth Estimation

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

More Global Matching

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

Morphological changes

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

Mosaic aerial camera

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

machine learning

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

mangrove monitoring

• 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

mobile mapping

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

mobile systems

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

multi-beam echo sounder

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

multi-modal

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

N

NDBI

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

NDBaI

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

NDVI

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

NDWI

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

Non-collaborative Surfaces

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

O

Optical Remote Sensing

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

open-source software

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

P

PDMS

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

PM2.5

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

PPK

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

PROSPECT 4

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

Pedestrian Behavior Analysis

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

Photogrammetry

• Benchmarking Vectorized Building Footprint Extraction from Very High Resolution Aerial Imagery, pages 47–54
• Analysis of morphological changes under controlled environmental conditions using UAV image-based bathymetry in very shallow waters, pages 115–121
• Towards Precise Building Models: LOD Generation from Airborne Multi-Source Point Clouds, pages 183–189

Piping and Instrumentation Diagram

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

Point Cloud

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

Point Cloud Quality Check

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

Point Clouds

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

Point cloud analysis

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

Point clouds

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

Positioning

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

point cloud registration algorithms

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

point clouds

• Updating hierarchical 3D models for P&ID purposes using LiDAR point clouds, pages 9–15
• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137
• Comparison of mobile laser scanning systems for component-based scan-to-BIM evaluation: NavVis VLX2, XGRIDS L2 Pro, and XGRIDS K1, pages 213–218

Q

Quality Assurance

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

quality

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

R

RAFTStereo

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

RTK

• 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

Rail Test System

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

Reflectance

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

Remote Sensing

• Benchmarking a Portable Low-Cost Spectrometer for Algal Fluorescence: Applications in Remote Sensing and Water Quality Monitoring, pages 163–168
• Examination of the Relationship Between Surface Temperature and Spectral Land Cover Indices for Different Köppen Climate Classes, pages 169–174

Rockfall

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

ranging bias

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

S

SLAM

• Comparison of mobile laser scanning systems for component-based scan-to-BIM evaluation: NavVis VLX2, XGRIDS L2 Pro, and XGRIDS K1, pages 213–218
• Point-level Uncertainty Evaluation of Mobile Laser Scanning Point Clouds, pages 243–249

SONAR

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

Satellite Imagery

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

Scaling Effect

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

Semantic Segmentation

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

Semantic segmentation

• A multi-sensor multi-resolution dataset to support forest inventory methods, pages 33–40
• Cross-domain urban and heritage point cloud benchmarks for semantic segmentation: insights from the 3M (Mapping Mappano Municipality) and ArCHX datasets, pages 131–137

Semi Global Matching

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

Sentinel-2

• Multi-Sensor Deep Learning Framework for LST Downscaling and Scaling Effect Assessment in Heterogeneous Urban Landscapes, pages 1–8
• Evaluating Vegetation Indices Across Scales: An Integrated Analysis of PROSPECT-4 Model, Sentinel-2, and Multispectral Drone, pages 41–45

Siemens Star

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

Smartphone

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

Smartphone imagery

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

Spatial Resolution

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

Spectrometer Development

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

Stereo Matching

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

Structure-from-Motion (SfM)

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

SuperPoint

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

Surface Reconstruction

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

Synthetic Training Data

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

scan-to-BIM

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

simulation

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

single-beam echo sounder

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

T

Terrestrial Laser Scanning (TLS)

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

Test Chart

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

Tree inventory

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

test field

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

total station measurements

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

tree crown delineation

• 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

U

UAV

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

UAV imagery

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

Urban scene reconstruction

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

urban environment

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

V

Vegetation indices

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

Visual Localisation

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

X

Xiaomi 13T

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

Y

YOLOv10

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

YOLOv11

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

YOLOv12

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