HYBRID GEOREFERENCING, ENHANCEMENT AND CLASSIFICATION OF ULTRA-HIGH RESOLUTION UAV LIDAR AND IMAGE POINT CLOUDS FOR MONITORING APPLICATIONS

Haala, N.; Kölle, M.; Cramer, M.; Laupheimer, D.; Mandlburger, G.; Glira, P.

doi:https://doi.org/10.5194/isprs-annals-V-2-2020-727-2020

Depth Supervised Neural Surface Reconstruction from Airborne Imagery

Vincent Hackstein, Paul Fauth-Mayer, Mathias Rothermel, and Norbert Haala

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 89–96, https://doi.org/10.5194/isprs-annals-X-2-2024-89-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-89-2024, 2024

SLAM for Indoor Mapping of Wide Area Construction Environments

Vincent Ress, Wei Zhang, David Skuddis, Norbert Haala, and Uwe Soergel

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

FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA

D. Collmar, V. Walter, M. Kölle, and U. Sörgel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 159–166, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023, 2023

LEARNING ON THE EDGE: BENCHMARKING ACTIVE LEARNING FOR THE SEMANTIC SEGMENTATION OF ALS POINT CLOUDS

M. Kölle, V. Walter, S. Schmohl, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 945–952, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-945-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-945-2023, 2023

A DECADE OF PROGRESS IN TOPO-BATHYMETRIC LASER SCANNING EXEMPLIFIED BY THE PIELACH RIVER DATASET

G. Mandlburger, M. Pfennigbauer, R. Schwarz, and F. Pöppl

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 1123–1130, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1123-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1123-2023, 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

EVALUATION OF A GNSS/IMU/LIDAR-INTEGRATION FOR AIRBORNE LASER SCANNING USING RTKLIB PPK AND PPP GNSS SOLUTIONS

F. Pöppl, G. Mandlburger, and N. Pfeifer

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 161–166, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-161-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-161-2023, 2023

GLOBALLY OPTIMAL POINT CLOUD REGISTRATION FOR ROBUST MOBILE MAPPING

D. Skuddis and N. Haala

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 273–281, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-273-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-273-2022, 2022

EVALUATION OF THE QUALITY OF REAL-TIME MAPPING WITH CRANE CAMERAS AND VISUAL SLAM ALGORITHMS

L. Joachim, W. Zhang, N. Haala, and U. Soergel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 545–552, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-545-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-545-2022, 2022

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

A GAMIFICATION APPROACH FOR THE IMPROVEMENT OF PAID CROWD-BASED LABELLING OF GEOSPATIAL DATA

V. Walter, M. Kölle, and D. Collmar

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 113–120, https://doi.org/10.5194/isprs-annals-V-4-2022-113-2022,https://doi.org/10.5194/isprs-annals-V-4-2022-113-2022, 2022

TOWARDS ROBUST INDOOR VISUAL SLAM AND DENSE RECONSTRUCTION FOR MOBILE ROBOTS

W. Zhang, S. Wang, and N. Haala

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 211–219, https://doi.org/10.5194/isprs-annals-V-1-2022-211-2022,https://doi.org/10.5194/isprs-annals-V-1-2022-211-2022, 2022

LEARNING FROM THE PAST: CROWD-DRIVEN ACTIVE TRANSFER LEARNING FOR SEMANTIC SEGMENTATION OF MULTI-TEMPORAL 3D POINT CLOUDS

M. Kölle, V. Walter, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 259–266, https://doi.org/10.5194/isprs-annals-V-2-2022-259-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-259-2022, 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

AN ACCURATE REAL-TIME UAV MAPPING SOLUTION FOR THE GENERATION OF ORTHOMOSAICS AND SURFACE MODELS

A. Kern, P. Fanta-Jende, P. Glira, F. Bruckmüller, and C. Sulzbachner

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 165–171, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-165-2021,https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-165-2021, 2021

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

WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES

M. Kölle, D. Laupheimer, V. Walter, N. Haala, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 93–100, https://doi.org/10.5194/isprs-annals-V-2-2021-93-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-93-2021, 2021

A TWO-LEVEL APPROACH FOR THE CROWD-BASED COLLECTION OF VEHICLES FROM 3D POINT CLOUDS

V. Walter, M. Kölle, D. Collmar, and Y. Zhang

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 97–104, https://doi.org/10.5194/isprs-annals-V-4-2021-97-2021,https://doi.org/10.5194/isprs-annals-V-4-2021-97-2021, 2021

EFFICIENT LOADING AND VISUALIZATION OF MASSIVE FEATURE-RICH POINT CLOUDS WITHOUT HIERARCHICAL ACCELERATION STRUCTURES

J. Otepka, G. Mandlburger, M. Schütz, N. Pfeifer, and M. Wimmer

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 293–300, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-293-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-293-2020, 2020

MAPPING OF WATER SURFACE LEVELS AND SLOPES WITH SINGLE PHOTON LIDAR – A CASE STUDY AT THE RIVER RHINE

G. Mandlburger, R. Weiß, and T. Artz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 57–64, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-57-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-57-2020, 2020

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

THREE-DIMENSIONAL PATH PLANNING OF UAVS IMAGING FOR COMPLETE PHOTOGRAMMETRIC RECONSTRUCTION

S. Zhang, C. Liu, and N. Haala

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 325–331, https://doi.org/10.5194/isprs-annals-V-1-2020-325-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-325-2020, 2020

HYBRID ACQUISITION OF HIGH QUALITY TRAINING DATA FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUDS USING CROWD-BASED ACTIVE LEARNING

M. Kölle, V. Walter, S. Schmohl, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 501–508, https://doi.org/10.5194/isprs-annals-V-2-2020-501-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-501-2020, 2020

ON THE ASSOCIATION OF LIDAR POINT CLOUDS AND TEXTURED MESHES FOR MULTI-MODAL SEMANTIC SEGMENTATION

D. Laupheimer, M. H. Shams Eddin, and N. Haala

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 509–516, https://doi.org/10.5194/isprs-annals-V-2-2020-509-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-509-2020, 2020

COMPARISON OF SUBAQUATIC DIGITAL ELEVATION MODELS FROM AIRBORNE LASER SCANNING AND IMAGERY

C. Mulsow, G. Mandlburger, and H.-G. Maas

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 671–677, https://doi.org/10.5194/isprs-annals-V-2-2020-671-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-671-2020, 2020

IDENTIFICATION OF PEACH TREE TRUNKS FROM LASER SCANNING DATA OBTAINED WITH SMALL UNMANNED AERIAL SYSTEM

E. Hadas, M. Kölle, M. Karpina, and A. Borkowski

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 735–740, https://doi.org/10.5194/isprs-annals-V-2-2020-735-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-735-2020, 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

HYBRID ORIENTATION OF AIRBORNE LIDAR POINT CLOUDS AND AERIAL IMAGES

P. Glira, N. Pfeifer, and G. Mandlburger

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 567–574, https://doi.org/10.5194/isprs-annals-IV-2-W5-567-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-567-2019, 2019

FEASIBILITY INVESTIGATION ON SINGLE PHOTON LIDAR BASED WATER SURFACE MAPPING

G. Mandlburger and B. Jutzi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 109–116, https://doi.org/10.5194/isprs-annals-IV-1-109-2018,https://doi.org/10.5194/isprs-annals-IV-1-109-2018, 2018

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

INVESTIGATING THE USE OF COASTAL BLUE IMAGERY FOR BATHYMETRIC MAPPING OF INLAND WATER BODIES

G. Mandlburger, J. Kremer, F. Steinbacher, and R. Baran

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 275–282, https://doi.org/10.5194/isprs-archives-XLII-1-275-2018,https://doi.org/10.5194/isprs-archives-XLII-1-275-2018, 2018

TOWARDS STANDARDIZED EVALUATION OF IMAGE QUALITY FOR AIRBORNE CAMERA SYSTEMS

H. Meißner, M. Cramer, and R. Reulke

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 295–300, https://doi.org/10.5194/isprs-archives-XLII-1-295-2018,https://doi.org/10.5194/isprs-archives-XLII-1-295-2018, 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

ROBUST AND ACCURATE IMAGE-BASED GEOREFERENCING EXPLOITING RELATIVE ORIENTATION CONSTRAINTS

S. Cavegn, S. Blaser, S. Nebiker, and N. Haala

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 57–64, https://doi.org/10.5194/isprs-annals-IV-2-57-2018,https://doi.org/10.5194/isprs-annals-IV-2-57-2018, 2018

NEURAL NETWORKS FOR THE CLASSIFICATION OF BUILDING USE FROM STREET-VIEW IMAGERY

D. Laupheimer, P. Tutzauer, N. Haala, and M. Spicker

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 177–184, https://doi.org/10.5194/isprs-annals-IV-2-177-2018,https://doi.org/10.5194/isprs-annals-IV-2-177-2018, 2018

WATER SURFACE RECONSTRUCTION IN AIRBORNE LASER BATHYMETRY FROM REDUNDANT BED OBSERVATIONS

G. Mandlburger, N. Pfeifer, and U. Soergel

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 123–130, https://doi.org/10.5194/isprs-annals-IV-2-W4-123-2017,https://doi.org/10.5194/isprs-annals-IV-2-W4-123-2017, 2017

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

BENCHMARKING THE OPTICAL RESOLVING POWER OF UAV BASED CAMERA SYSTEMS

H. Meißner, M. Cramer, and B. Piltz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 243–249, https://doi.org/10.5194/isprs-archives-XLII-2-W6-243-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W6-243-2017, 2017

A MOBILE MULTI-SENSOR PLATFORM FOR BUILDING RECONSTRUCTION INTEGRATING TERRESTRIAL AND AUTONOMOUS UAV-BASED CLOSE RANGE DATA ACQUISITION

A. Cefalu, N. Haala, S. Schmohl, I. Neumann, and T. Genz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 63–70, https://doi.org/10.5194/isprs-archives-XLII-2-W6-63-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W6-63-2017, 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

INVESTIGATION OF PARALLAX ISSUES FOR MULTI-LENS MULTISPECTRAL CAMERA BAND CO-REGISTRATION

J. P. Jhan, J. Y. Rau, N. Haala, and M. Cramer

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W6, 157–163, https://doi.org/10.5194/isprs-archives-XLII-2-W6-157-2017,https://doi.org/10.5194/isprs-archives-XLII-2-W6-157-2017, 2017

PROCESSING OF CRAWLED URBAN IMAGERY FOR BUILDING USE CLASSIFICATION

P. Tutzauer and N. Haala

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 143–149, https://doi.org/10.5194/isprs-archives-XLII-1-W1-143-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-143-2017, 2017

HIGH DENSITY AERIAL IMAGE MATCHING: STATE-OF-THE-ART AND FUTURE PROSPECTS

N. Haala and S. Cavegn

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 625–630, https://doi.org/10.5194/isprs-archives-XLI-B4-625-2016,https://doi.org/10.5194/isprs-archives-XLI-B4-625-2016, 2016

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

HYBRID GEOREFERENCING, ENHANCEMENT AND CLASSIFICATION OF ULTRA-HIGH RESOLUTION UAV LIDAR AND IMAGE POINT CLOUDS FOR MONITORING APPLICATIONS

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