3

3D

• MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS, pages 9–16
• BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS, pages 123–130
• EVALUATING MONOCULAR DEPTH ESTIMATION METHODS, pages 137–144
• FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET, pages 175–182

3D Building Benchmark

• A 3D INDOOR-OUTDOOR BENCHMARK DATASET FOR LoD3 BUILDING POINT CLOUD SEMANTIC SEGMENTATION, pages 31–37

3D Reconstruction

• 3D DENSITY-GRADIENT BASED EDGE DETECTION ON NEURAL RADIANCE FIELDS (NERFS) FOR GEOMETRIC RECONSTRUCTION, pages 71–78
• GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS), pages 153–159

3D Scanning

• TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS, pages 55–61

3D modeling

• A MULTI-PURPOSE USV PROTOTYPE FOR PHOTOGRAMMETRY APPLICATIONS – CASE STUDY OF A 3D MODEL OF THE GRUNWALDZKI BRIDGE (WROCŁAW, POLAND), pages 199–204

3D processing

• GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS, pages 47–54

3D reconstruction

• DESIGNING AND EVALUATING A PORTABLE LIDAR-BASED SLAM SYSTEM, pages 191–198
• A MULTI-PURPOSE USV PROTOTYPE FOR PHOTOGRAMMETRY APPLICATIONS – CASE STUDY OF A 3D MODEL OF THE GRUNWALDZKI BRIDGE (WROCŁAW, POLAND), pages 199–204
• NERFBK: A HOLISTIC DATASET FOR BENCHMARKING NERF-BASED 3D RECONSTRUCTION, pages 219–226

A

ALS

• CENAGIS-ALS BENCHMARK - NEW PROPOSAL FOR DENSE ALS BENCHMARK BASED ON THE REVIEW OF DATASETS AND BENCHMARKS FOR 3D POINT CLOUD SEGMENTATION, pages 227–234

Accuracy Assessment

• EVALUATION OF CONSUMER-GRADE AND SURVEY-GRADE UAV-LIDAR, pages 99–106
• GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS), pages 153–159

Aerial triangulation

• THE EUROSDR RPAS BENCHMARK: OPEN DATASET DESCRIPTION AND SUMMARY OF KEY RESULTS, pages 107–114

accuracy

• SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES, pages 39–45
• EVALUATING A NADIR AND AN OBLIQUE CAMERA FOR 3D INFRASTRUCTURE (CITY) MODEL GENERATION, pages 131–136

agriculture

• UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2, pages 85–90

applications

• SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES, pages 39–45

B

BEM

• FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET, pages 175–182

BIM

• FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET, pages 175–182
• SELECTED QUALITATIVE ASPECTS OF LIDAR POINT CLOUDS: GEOSLAM ZEB-REVO AND FARO FOCUS 3D X130, pages 205–212

Benchmark

• CURRENT STATUS OF THE BENCHMARK DATABASE BEMEDA, pages 25–30
• THE EUROSDR RPAS BENCHMARK: OPEN DATASET DESCRIPTION AND SUMMARY OF KEY RESULTS, pages 107–114
• INVESTIGATION ON THE USE OF NeRF FOR HERITAGE 3D DENSE RECONSTRUCTION FOR INTERIOR SPACES, pages 115–121
• THE UTILIZATION OF SYNTHETIC AND SEMISYNTHETIC POINT CLOUDS AND IMAGES FOR TESTING NOVEL APPROACHES FOR CORRECTING LIDAR DATA, pages 145–151
• NERFBK: A HOLISTIC DATASET FOR BENCHMARKING NERF-BASED 3D RECONSTRUCTION, pages 219–226

benchmark

• SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES, pages 39–45
• BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS, pages 123–130
• EVALUATING MONOCULAR DEPTH ESTIMATION METHODS, pages 137–144
• CENAGIS-ALS BENCHMARK - NEW PROPOSAL FOR DENSE ALS BENCHMARK BASED ON THE REVIEW OF DATASETS AND BENCHMARKS FOR 3D POINT CLOUD SEGMENTATION, pages 227–234

benchmarking

• A NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION, pages 1–8

C

Canny

• 3D DENSITY-GRADIENT BASED EDGE DETECTION ON NEURAL RADIANCE FIELDS (NERFS) FOR GEOMETRIC RECONSTRUCTION, pages 71–78

Cultural heritage

• DESIGNING AND EVALUATING A PORTABLE LIDAR-BASED SLAM SYSTEM, pages 191–198

classification

• A NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION, pages 1–8

climate change

• MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS, pages 9–16
• SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES, pages 39–45

coastal erosion

• SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES, pages 39–45

D

DSM

• GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS, pages 47–54

Data repository

• ON THE DEVELOPMENT OF A DATASET PUBLICATION GUIDELINE: DATA REPOSITORIES AND KEYWORD ANALYSIS IN ISPRS DOMAIN, pages 17–23

Database

• CURRENT STATUS OF THE BENCHMARK DATABASE BEMEDA, pages 25–30

Dataset

• CURRENT STATUS OF THE BENCHMARK DATABASE BEMEDA, pages 25–30

Deep Learning

• A 3D INDOOR-OUTDOOR BENCHMARK DATASET FOR LoD3 BUILDING POINT CLOUD SEMANTIC SEGMENTATION, pages 31–37
• BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS, pages 123–130
• EVALUATING MONOCULAR DEPTH ESTIMATION METHODS, pages 137–144

Density Field

• 3D DENSITY-GRADIENT BASED EDGE DETECTION ON NEURAL RADIANCE FIELDS (NERFS) FOR GEOMETRIC RECONSTRUCTION, pages 71–78

Density Gradient

• 3D DENSITY-GRADIENT BASED EDGE DETECTION ON NEURAL RADIANCE FIELDS (NERFS) FOR GEOMETRIC RECONSTRUCTION, pages 71–78

data integration

• INTEGRATION OF IPHONE LiDAR WITH QUADCOPTER AND FIXED WING UAV PHOTOGRAMMETRY FOR THE FORESTRY APPLICATIONS, pages 213–218

data life cycle

• ON THE DEVELOPMENT OF A DATASET PUBLICATION GUIDELINE: DATA REPOSITORIES AND KEYWORD ANALYSIS IN ISPRS DOMAIN, pages 17–23

dataset

• A NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION, pages 1–8
• MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS, pages 9–16

dataset preparation

• CHALLENGES IN PREPARING DATASETS FOR SUPER-RESOLUTION ON THE EXAMPLE OF SENTINEL-2 AND PLANET SCOPE IMAGES, pages 91–98

datasets

• CENAGIS-ALS BENCHMARK - NEW PROPOSAL FOR DENSE ALS BENCHMARK BASED ON THE REVIEW OF DATASETS AND BENCHMARKS FOR 3D POINT CLOUD SEGMENTATION, pages 227–234

deep learning

• A NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION, pages 1–8

direct georeferencing

• EVALUATION OF A GNSS/IMU/LIDAR-INTEGRATION FOR AIRBORNE LASER SCANNING USING RTKLIB PPK AND PPP GNSS SOLUTIONS, pages 161–166

E

Edge

• EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS, pages 183–189

EuroSDR

• THE EUROSDR RPAS BENCHMARK: OPEN DATASET DESCRIPTION AND SUMMARY OF KEY RESULTS, pages 107–114

Evaluation

• DESIGNING AND EVALUATING A PORTABLE LIDAR-BASED SLAM SYSTEM, pages 191–198

earth observation

• CHALLENGES IN PREPARING DATASETS FOR SUPER-RESOLUTION ON THE EXAMPLE OF SENTINEL-2 AND PLANET SCOPE IMAGES, pages 91–98

energy efficiency

• FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET, pages 175–182

F

FAIR principle

• ON THE DEVELOPMENT OF A DATASET PUBLICATION GUIDELINE: DATA REPOSITORIES AND KEYWORD ANALYSIS IN ISPRS DOMAIN, pages 17–23
• CURRENT STATUS OF THE BENCHMARK DATABASE BEMEDA, pages 25–30

Forest Inventory

• TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS, pages 55–61

Forest mapping

• DESIGNING AND EVALUATING A PORTABLE LIDAR-BASED SLAM SYSTEM, pages 191–198

forestry

• INTEGRATION OF IPHONE LiDAR WITH QUADCOPTER AND FIXED WING UAV PHOTOGRAMMETRY FOR THE FORESTRY APPLICATIONS, pages 213–218

G

Geometry accuracy

• TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS, pages 55–61

Green Deal

• MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS, pages 9–16

Ground truth

• EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS, pages 183–189

H

HBIM

• SELECTED QUALITATIVE ASPECTS OF LIDAR POINT CLOUDS: GEOSLAM ZEB-REVO AND FARO FOCUS 3D X130, pages 205–212

Heritage

• INVESTIGATION ON THE USE OF NeRF FOR HERITAGE 3D DENSE RECONSTRUCTION FOR INTERIOR SPACES, pages 115–121

high-resolution satellite images

• GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS, pages 47–54

historical bridge

• A MULTI-PURPOSE USV PROTOTYPE FOR PHOTOGRAMMETRY APPLICATIONS – CASE STUDY OF A 3D MODEL OF THE GRUNWALDZKI BRIDGE (WROCŁAW, POLAND), pages 199–204

hyperspectral

• MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS, pages 9–16

I

ICP

• EVALUATION OF LIDAR ODOMETRY AND MAPPING BASED ON REFERENCE LASER SCANNING, pages 79–84

ISPRS Annals

• ON THE DEVELOPMENT OF A DATASET PUBLICATION GUIDELINE: DATA REPOSITORIES AND KEYWORD ANALYSIS IN ISPRS DOMAIN, pages 17–23

Indoor

• EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS, pages 183–189

Indoor/Outdoor Dataset

• A 3D INDOOR-OUTDOOR BENCHMARK DATASET FOR LoD3 BUILDING POINT CLOUD SEMANTIC SEGMENTATION, pages 31–37

iPhone LiDAR

• INTEGRATION OF IPHONE LiDAR WITH QUADCOPTER AND FIXED WING UAV PHOTOGRAMMETRY FOR THE FORESTRY APPLICATIONS, pages 213–218

L

LIDAR

• THE UTILIZATION OF SYNTHETIC AND SEMISYNTHETIC POINT CLOUDS AND IMAGES FOR TESTING NOVEL APPROACHES FOR CORRECTING LIDAR DATA, pages 145–151

Laplacian of Gaussian

• 3D DENSITY-GRADIENT BASED EDGE DETECTION ON NEURAL RADIANCE FIELDS (NERFS) FOR GEOMETRIC RECONSTRUCTION, pages 71–78

Laser Scanning

• EVALUATION OF CONSUMER-GRADE AND SURVEY-GRADE UAV-LIDAR, pages 99–106
• GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS), pages 153–159

LeGO-LOAM

• EVALUATION OF LIDAR ODOMETRY AND MAPPING BASED ON REFERENCE LASER SCANNING, pages 79–84

LiDAR

• MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS, pages 9–16

LiDAR-SLAM

• EVALUATION OF LIDAR ODOMETRY AND MAPPING BASED ON REFERENCE LASER SCANNING, pages 79–84

Lidar

• THE EUROSDR RPAS BENCHMARK: OPEN DATASET DESCRIPTION AND SUMMARY OF KEY RESULTS, pages 107–114

Low-Cost

• DESIGNING AND EVALUATING A PORTABLE LIDAR-BASED SLAM SYSTEM, pages 191–198

Low-Cost Sensor

• EVALUATION OF CONSUMER-GRADE AND SURVEY-GRADE UAV-LIDAR, pages 99–106

Low-cost GNSS receiver

• LOW-COST MULTI-FREQUENCY GNSS RECEIVERS: PERFORMANCE EVALUATION FOR POSITIONING AND NAVIGATION, pages 167–174

landuse land cover

• UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2, pages 85–90

laser scanning

• FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET, pages 175–182

M

MVS

• BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS, pages 123–130

Machine Learning

• A 3D INDOOR-OUTDOOR BENCHMARK DATASET FOR LoD3 BUILDING POINT CLOUD SEMANTIC SEGMENTATION, pages 31–37

Mesh

• A 3D INDOOR-OUTDOOR BENCHMARK DATASET FOR LoD3 BUILDING POINT CLOUD SEMANTIC SEGMENTATION, pages 31–37

Metadata

• CURRENT STATUS OF THE BENCHMARK DATABASE BEMEDA, pages 25–30

MicaSense

• SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA, pages 63–69

Mixed Reality

• TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS, pages 55–61

Mobile Mapping

• DESIGNING AND EVALUATING A PORTABLE LIDAR-BASED SLAM SYSTEM, pages 191–198

Modelling

• EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS, pages 183–189

Monocular Depth

• EVALUATING MONOCULAR DEPTH ESTIMATION METHODS, pages 137–144

Multi-Spectral Camera

• SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA, pages 63–69

Multi-View Stereo

• INVESTIGATION ON THE USE OF NeRF FOR HERITAGE 3D DENSE RECONSTRUCTION FOR INTERIOR SPACES, pages 115–121

mapping

• MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS, pages 9–16
• GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS, pages 47–54

mobile laser scanning

• SELECTED QUALITATIVE ASPECTS OF LIDAR POINT CLOUDS: GEOSLAM ZEB-REVO AND FARO FOCUS 3D X130, pages 205–212

mobile robot

• EVALUATION OF LIDAR ODOMETRY AND MAPPING BASED ON REFERENCE LASER SCANNING, pages 79–84

monocular

• BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS, pages 123–130

N

NDVI

• SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA, pages 63–69

NMCAs

• GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS, pages 47–54

NRTK

• LOW-COST MULTI-FREQUENCY GNSS RECEIVERS: PERFORMANCE EVALUATION FOR POSITIONING AND NAVIGATION, pages 167–174

Nadir

• EVALUATING A NADIR AND AN OBLIQUE CAMERA FOR 3D INFRASTRUCTURE (CITY) MODEL GENERATION, pages 131–136

Navigation

• LOW-COST MULTI-FREQUENCY GNSS RECEIVERS: PERFORMANCE EVALUATION FOR POSITIONING AND NAVIGATION, pages 167–174

NeRF

• INVESTIGATION ON THE USE OF NeRF FOR HERITAGE 3D DENSE RECONSTRUCTION FOR INTERIOR SPACES, pages 115–121
• BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS, pages 123–130

NeRFBK

• NERFBK: A HOLISTIC DATASET FOR BENCHMARKING NERF-BASED 3D RECONSTRUCTION, pages 219–226

Neural Radiance Fields

• 3D DENSITY-GRADIENT BASED EDGE DETECTION ON NEURAL RADIANCE FIELDS (NERFS) FOR GEOMETRIC RECONSTRUCTION, pages 71–78
• GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS), pages 153–159

Neural Radiance Fields (NeRF)

• NERFBK: A HOLISTIC DATASET FOR BENCHMARKING NERF-BASED 3D RECONSTRUCTION, pages 219–226

O

Oblique

• EVALUATING A NADIR AND AN OBLIQUE CAMERA FOR 3D INFRASTRUCTURE (CITY) MODEL GENERATION, pages 131–136

Orientation

• THE EUROSDR RPAS BENCHMARK: OPEN DATASET DESCRIPTION AND SUMMARY OF KEY RESULTS, pages 107–114

optical

• GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS, pages 47–54

P

PPP

• LOW-COST MULTI-FREQUENCY GNSS RECEIVERS: PERFORMANCE EVALUATION FOR POSITIONING AND NAVIGATION, pages 167–174

Photogrammetry

• TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS, pages 55–61
• INVESTIGATION ON THE USE OF NeRF FOR HERITAGE 3D DENSE RECONSTRUCTION FOR INTERIOR SPACES, pages 115–121
• BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS, pages 123–130
• EVALUATING MONOCULAR DEPTH ESTIMATION METHODS, pages 137–144
• NERFBK: A HOLISTIC DATASET FOR BENCHMARKING NERF-BASED 3D RECONSTRUCTION, pages 219–226

PlanetScope

• CHALLENGES IN PREPARING DATASETS FOR SUPER-RESOLUTION ON THE EXAMPLE OF SENTINEL-2 AND PLANET SCOPE IMAGES, pages 91–98

Point Cloud

• A 3D INDOOR-OUTDOOR BENCHMARK DATASET FOR LoD3 BUILDING POINT CLOUD SEMANTIC SEGMENTATION, pages 31–37
• TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS, pages 55–61

Point Cloud Comparison

• GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS), pages 153–159

Point Clouds

• INVESTIGATION ON THE USE OF NeRF FOR HERITAGE 3D DENSE RECONSTRUCTION FOR INTERIOR SPACES, pages 115–121
• THE UTILIZATION OF SYNTHETIC AND SEMISYNTHETIC POINT CLOUDS AND IMAGES FOR TESTING NOVEL APPROACHES FOR CORRECTING LIDAR DATA, pages 145–151

Point cloud

• EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS, pages 183–189

Positioning

• LOW-COST MULTI-FREQUENCY GNSS RECEIVERS: PERFORMANCE EVALUATION FOR POSITIONING AND NAVIGATION, pages 167–174

photogrammetry

• MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS, pages 9–16
• FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET, pages 175–182
• A MULTI-PURPOSE USV PROTOTYPE FOR PHOTOGRAMMETRY APPLICATIONS – CASE STUDY OF A 3D MODEL OF THE GRUNWALDZKI BRIDGE (WROCŁAW, POLAND), pages 199–204
• INTEGRATION OF IPHONE LiDAR WITH QUADCOPTER AND FIXED WING UAV PHOTOGRAMMETRY FOR THE FORESTRY APPLICATIONS, pages 213–218

point cloud

• A NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION, pages 1–8
• FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET, pages 175–182

point clouds

• SELECTED QUALITATIVE ASPECTS OF LIDAR POINT CLOUDS: GEOSLAM ZEB-REVO AND FARO FOCUS 3D X130, pages 205–212
• INTEGRATION OF IPHONE LiDAR WITH QUADCOPTER AND FIXED WING UAV PHOTOGRAMMETRY FOR THE FORESTRY APPLICATIONS, pages 213–218
• CENAGIS-ALS BENCHMARK - NEW PROPOSAL FOR DENSE ALS BENCHMARK BASED ON THE REVIEW OF DATASETS AND BENCHMARKS FOR 3D POINT CLOUD SEGMENTATION, pages 227–234

Q

quality

• SELECTED QUALITATIVE ASPECTS OF LIDAR POINT CLOUDS: GEOSLAM ZEB-REVO AND FARO FOCUS 3D X130, pages 205–212

R

RMSE

• EVALUATING A NADIR AND AN OBLIQUE CAMERA FOR 3D INFRASTRUCTURE (CITY) MODEL GENERATION, pages 131–136

RPAS

• THE EUROSDR RPAS BENCHMARK: OPEN DATASET DESCRIPTION AND SUMMARY OF KEY RESULTS, pages 107–114

Registration

• EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS, pages 183–189

Remote Sensing

• SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA, pages 63–69

remote sensing

• SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES, pages 39–45

S

SLAM

• EVALUATION OF LIDAR ODOMETRY AND MAPPING BASED ON REFERENCE LASER SCANNING, pages 79–84
• SELECTED QUALITATIVE ASPECTS OF LIDAR POINT CLOUDS: GEOSLAM ZEB-REVO AND FARO FOCUS 3D X130, pages 205–212

Scan2Bim

• EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS, pages 183–189

Semisynthetic Data

• THE UTILIZATION OF SYNTHETIC AND SEMISYNTHETIC POINT CLOUDS AND IMAGES FOR TESTING NOVEL APPROACHES FOR CORRECTING LIDAR DATA, pages 145–151

Sentinel 2

• SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES, pages 39–45

Sentinel-2

• UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2, pages 85–90
• CHALLENGES IN PREPARING DATASETS FOR SUPER-RESOLUTION ON THE EXAMPLE OF SENTINEL-2 AND PLANET SCOPE IMAGES, pages 91–98

SfM Photogrammetry

• THE EUROSDR RPAS BENCHMARK: OPEN DATASET DESCRIPTION AND SUMMARY OF KEY RESULTS, pages 107–114

Sobel

• 3D DENSITY-GRADIENT BASED EDGE DETECTION ON NEURAL RADIANCE FIELDS (NERFS) FOR GEOMETRIC RECONSTRUCTION, pages 71–78

Synthetic Data

• INVESTIGATION ON THE USE OF NeRF FOR HERITAGE 3D DENSE RECONSTRUCTION FOR INTERIOR SPACES, pages 115–121
• THE UTILIZATION OF SYNTHETIC AND SEMISYNTHETIC POINT CLOUDS AND IMAGES FOR TESTING NOVEL APPROACHES FOR CORRECTING LIDAR DATA, pages 145–151

satellite images

• CHALLENGES IN PREPARING DATASETS FOR SUPER-RESOLUTION ON THE EXAMPLE OF SENTINEL-2 AND PLANET SCOPE IMAGES, pages 91–98

segmentation

• CENAGIS-ALS BENCHMARK - NEW PROPOSAL FOR DENSE ALS BENCHMARK BASED ON THE REVIEW OF DATASETS AND BENCHMARKS FOR 3D POINT CLOUD SEGMENTATION, pages 227–234

semantic segmentation

• A NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION, pages 1–8

sensor integration

• EVALUATION OF A GNSS/IMU/LIDAR-INTEGRATION FOR AIRBORNE LASER SCANNING USING RTKLIB PPK AND PPP GNSS SOLUTIONS, pages 161–166

sensor orientation

• EVALUATION OF A GNSS/IMU/LIDAR-INTEGRATION FOR AIRBORNE LASER SCANNING USING RTKLIB PPK AND PPP GNSS SOLUTIONS, pages 161–166

super-resolution

• CHALLENGES IN PREPARING DATASETS FOR SUPER-RESOLUTION ON THE EXAMPLE OF SENTINEL-2 AND PLANET SCOPE IMAGES, pages 91–98

surveying

• FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET, pages 175–182

T

Tree Georeferencing

• TERRESTRIAL 3D MAPPING OF FORESTS: GEOREFERENCING CHALLENGES AND SENSORS COMPARISONS, pages 55–61

terrestrial laser scanning

• SELECTED QUALITATIVE ASPECTS OF LIDAR POINT CLOUDS: GEOSLAM ZEB-REVO AND FARO FOCUS 3D X130, pages 205–212

thermal

• MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS, pages 9–16

trajectory estimation

• EVALUATION OF A GNSS/IMU/LIDAR-INTEGRATION FOR AIRBORNE LASER SCANNING USING RTKLIB PPK AND PPP GNSS SOLUTIONS, pages 161–166

U

UAV

• THE EUROSDR RPAS BENCHMARK: OPEN DATASET DESCRIPTION AND SUMMARY OF KEY RESULTS, pages 107–114
• BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS, pages 123–130
• EVALUATING A NADIR AND AN OBLIQUE CAMERA FOR 3D INFRASTRUCTURE (CITY) MODEL GENERATION, pages 131–136

UNet

• UNET NEURAL NETWORK IN AGRICULTURAL LAND COVER CLASSIFICATION USING SENTINEL-2, pages 85–90

USV

• A MULTI-PURPOSE USV PROTOTYPE FOR PHOTOGRAMMETRY APPLICATIONS – CASE STUDY OF A 3D MODEL OF THE GRUNWALDZKI BRIDGE (WROCŁAW, POLAND), pages 199–204

Unmanned Aerial Vehicles

• EVALUATION OF CONSUMER-GRADE AND SURVEY-GRADE UAV-LIDAR, pages 99–106

Unmanned Aerial Vehicles (UAV)

• INTEGRATION OF IPHONE LiDAR WITH QUADCOPTER AND FIXED WING UAV PHOTOGRAMMETRY FOR THE FORESTRY APPLICATIONS, pages 213–218

Urban mapping

• DESIGNING AND EVALUATING A PORTABLE LIDAR-BASED SLAM SYSTEM, pages 191–198

V

Vegetation

• SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA, pages 63–69

W

waterlines

• SENTINEL-2 DERIVED WATERLINES FOR COASTAL MONITORING APPLICATIONS: A NEW APPROACH FOR QUANTIFYING VERTICAL AND HORIZONTAL ACCURACIES, pages 39–45