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03 Aug 2020
HYBRID GEOREFERENCING, ENHANCEMENT AND CLASSIFICATION OF ULTRA-HIGH RESOLUTION UAV LIDAR AND IMAGE POINT CLOUDS FOR MONITORING APPLICATIONS
N. Haala, M. Kölle, M. Cramer, D. Laupheimer, G. Mandlburger, and P. Glira
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 209–216, https://doi.org/10.5194/isprs-annals-X-2-2024-209-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-209-2024, 2024
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 547–554, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-547-2024,https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-547-2024, 2024
GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS
E. M. Farella, F. Remondino, C. Cahalane, R. Qin, A. M. Loghin, M. Di Tullio, N. Haala, and J. Mills
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 47–54, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023, 2023
THE EUROSDR TIME BENCHMARK FOR HISTORICAL AERIAL IMAGES
E. M. Farella, L. Morelli, F. Remondino, J. P. Mills, N. Haala, and J. Crompvoets
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1175–1182, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022, 2022
MULTI-MODAL SEMANTIC MESH SEGMENTATION IN URBAN SCENES
D. Laupheimer and N. Haala
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 267–274, https://doi.org/10.5194/isprs-annals-V-2-2022-267-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-267-2022, 2022
SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL
P. Tutzauer, D. Laupheimer, and N. Haala
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 175–182, https://doi.org/10.5194/isprs-annals-IV-2-W7-175-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-175-2019, 2019
ULTRA-HIGH PRECISION UAV-BASED LIDAR AND DENSE IMAGE MATCHING
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 115–120, https://doi.org/10.5194/isprs-archives-XLII-1-115-2018,https://doi.org/10.5194/isprs-archives-XLII-1-115-2018, 2018
INDOOR MESH CLASSIFICATION FOR BIM
L. S. Runceanu and N. Haala
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 535–539, https://doi.org/10.5194/isprs-archives-XLII-4-535-2018,https://doi.org/10.5194/isprs-archives-XLII-4-535-2018, 2018
IMPROVED TOPOGRAPHIC MODELS VIA CONCURRENT AIRBORNE LIDAR AND DENSE IMAGE MATCHING
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 259–266, https://doi.org/10.5194/isprs-annals-IV-2-W4-259-2017,https://doi.org/10.5194/isprs-annals-IV-2-W4-259-2017, 2017
Analysis of refraction aware Neural Radiance Fields for 3D reconstruction of through the water scenes
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 39–45, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-39-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-39-2025, 2025
Accurate reference for shallow water bathymetry using a tilt-compensating dual-prism pole and time-synchronized robotic total stations
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 55–62, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-55-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-55-2025, 2025
Exploring the Potential of Refractive NeRFs for Photogrammetric Bathymetry - First Application to UAV-based Data from the Pielach River
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 107–114, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-107-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-107-2025, 2025
Evaluation of ULS Bathymetry for Hydrodynamic Modelling
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 115–122, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-115-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-115-2025, 2025
Airborne and UAV-borne Laser Bathymetry applied to a mountain river reach
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 131–138, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-131-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-131-2025, 2025
New Approaches in Photo-Bathymetry
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Optical hydrography for seasonal and flood-induced changes in aquatic vegetation
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 239–246, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-239-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-239-2025, 2025
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A status quo in aerial photogrammetric mapping
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High-detail and low-cost underwater inspection of large-scale hydropower dams
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Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”
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SLAM for Indoor Mapping of Wide Area Construction Environments
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 209–216, https://doi.org/10.5194/isprs-annals-X-2-2024-209-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-209-2024, 2024
Dense collaborative mapping with deep visual SLAM method
Peiwei Pan, Wei Zhang, and Norbert Haala
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 547–554, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-547-2024,https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-547-2024, 2024
HYBRID ADJUSTMENT OF UAS-BASED LiDAR AND IMAGE DATA
Y. Yadav, B. Alsadik, F. Nex, F. Remondino, and P. Glira
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 633–640, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023, 2023
GEOMETRIC PROCESSING OF VERY HIGH-RESOLUTION SATELLITE IMAGERY: QUALITY ASSESSMENT FOR 3D MAPPING NEEDS
E. M. Farella, F. Remondino, C. Cahalane, R. Qin, A. M. Loghin, M. Di Tullio, N. Haala, and J. Mills
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 47–54, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-47-2023, 2023
EVALUATION OF CONSUMER-GRADE AND SURVEY-GRADE UAV-LIDAR
G. Mandlburger, M. Kölle, F. Pöppl, and M. Cramer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 99–106, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-99-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-99-2023, 2023
THE EUROSDR TIME BENCHMARK FOR HISTORICAL AERIAL IMAGES
E. M. Farella, L. Morelli, F. Remondino, J. P. Mills, N. Haala, and J. Crompvoets
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1175–1182, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022, 2022
MULTI-MODAL SEMANTIC MESH SEGMENTATION IN URBAN SCENES
D. Laupheimer and N. Haala
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 267–274, https://doi.org/10.5194/isprs-annals-V-2-2022-267-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-267-2022, 2022
A FRAMEWORK FOR GENERIC SPATIAL SEARCH IN 3D POINT CLOUDS
J. Otepka, G. Mandlburger, W. Karel, B. Wöhrer, C. Ressl, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 35–42, https://doi.org/10.5194/isprs-annals-V-2-2021-35-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-35-2021, 2021
3D ONLINE TERRAIN MAPPING WITH SCANNING RADAR SENSORS
C. Weidinger, T. Kadiofsky, P. Glira, C. Zinner, and W. Kubinger
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 125–132, https://doi.org/10.5194/isprs-annals-V-1-2020-125-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-125-2020, 2020
SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL
P. Tutzauer, D. Laupheimer, and N. Haala
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 175–182, https://doi.org/10.5194/isprs-annals-IV-2-W7-175-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-175-2019, 2019
A COMPARISON OF SINGLE PHOTON AND FULL WAVEFORM LIDAR
G. Mandlburger, H. Lehner, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 397–404, https://doi.org/10.5194/isprs-annals-IV-2-W5-397-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-397-2019, 2019
ULTRA-HIGH PRECISION UAV-BASED LIDAR AND DENSE IMAGE MATCHING
M. Cramer, N. Haala, D. Laupheimer, G. Mandlburger, and P. Havel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 115–120, https://doi.org/10.5194/isprs-archives-XLII-1-115-2018,https://doi.org/10.5194/isprs-archives-XLII-1-115-2018, 2018
INDOOR MESH CLASSIFICATION FOR BIM
L. S. Runceanu and N. Haala
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 535–539, https://doi.org/10.5194/isprs-archives-XLII-4-535-2018,https://doi.org/10.5194/isprs-archives-XLII-4-535-2018, 2018
A CASE STUDY ON THROUGH-WATER DENSE IMAGE MATCHING
G. Mandlburger
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 659–666, https://doi.org/10.5194/isprs-archives-XLII-2-659-2018,https://doi.org/10.5194/isprs-archives-XLII-2-659-2018, 2018
IMPROVED TOPOGRAPHIC MODELS VIA CONCURRENT AIRBORNE LIDAR AND DENSE IMAGE MATCHING
G. Mandlburger, K. Wenzel, A. Spitzer, N. Haala, P. Glira, and N. Pfeifer
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 259–266, https://doi.org/10.5194/isprs-annals-IV-2-W4-259-2017,https://doi.org/10.5194/isprs-annals-IV-2-W4-259-2017, 2017
UAV CAMERAS: OVERVIEW AND GEOMETRIC CALIBRATION BENCHMARK
M. Cramer, H.-J. Przybilla, and A. Zurhorst
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 85–92, https://doi.org/10.5194/isprs-archives-XLII-2-W6-85-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W6-85-2017, 2017
EVALUATION OF A NOVEL UAV-BORNE TOPO-BATHYMETRIC LASER PROFILER
G. Mandlburger, M. Pfennigbauer, M. Wieser, U. Riegl, and N. Pfeifer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 933–939, https://doi.org/10.5194/isprs-archives-XLI-B1-933-2016,https://doi.org/10.5194/isprs-archives-XLI-B1-933-2016, 2016