ULTRA-HIGH PRECISION UAV-BASED LIDAR AND DENSE IMAGE MATCHING

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

doi:https://doi.org/10.5194/isprs-archives-XLII-1-115-2018

Exploring the Potential of Refractive NeRFs for Photogrammetric Bathymetry - First Application to UAV-based Data from the Pielach River

Anatol Günthner, Markus Brezovsky, Frederik Schulte, Lukas Winiwarter, Gottfried Mandlburger, and Boris Jutzi

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

Joseph C. Haines, Maria V. Peppa, Christos Iliadis, Jon P. Mills, Vassilis Glenis, and Gottfried Mandlburger

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

Theresa Himmelsbach, Jan Rhomberg-Kauert, Gottfried Mandlburger, Wolfgang Dobler, Bernhard Gems, and Markus Aufleger

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

Hans-Gerd Maas, Hannes Sardemann, Christian Mulsow, Laure-Anne Gueguen, and Gottfried Mandlburger

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 185–190, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-185-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-185-2025, 2025

Optical hydrography for seasonal and flood-induced changes in aquatic vegetation

Jan Rhomberg-Kauert, Lucas Dammert, Michael Grömer, Martin Pfennigbauer, and Gottfried Mandlburger

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

Detection and documentation of a submerged neolithic pile dwelling settlement using airborne laser bathymetry and multimedia photogrammetry - A case study at lake Mondsee

Katharina Riederer, David Simböck, and Gottfried Mandlburger

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 247–254, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-247-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-247-2025, 2025

Simulation and validation of underwater scenes for two-media optical 3D reconstruction

Frederik Schulte, Markus Brezovsky, Anatol Günthner, Boris Jutzi, Gottfried Mandlburger, and Lukas Winiwarter

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W10-2025, 271–278, https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-271-2025,https://doi.org/10.5194/isprs-archives-XLVIII-2-W10-2025-271-2025, 2025

A status quo in aerial photogrammetric mapping

Fabio Remondino, Marc Muick, Michael Cramer, Konrad Wenzel, and Klaus Legat

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W4-2025, 115–122, https://doi.org/10.5194/isprs-archives-XLVIII-1-W4-2025-115-2025,https://doi.org/10.5194/isprs-archives-XLVIII-1-W4-2025-115-2025, 2025

Evaluation of Active and Passive UAV-Based Surveying Systems for Eulittoral Zone Mapping

Reuma Arav, Camillo Ressl, Robert Weiss, Thomas Artz, and Gottfried Mandlburger

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 9–16, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-9-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-9-2024, 2024

High-detail and low-cost underwater inspection of large-scale hydropower dams

Michael Grömer, Erica Nocerino, Alessio Calantropio, Fabio Menna, Ansgar Dreier, Lukas Winiwarter, and Gottfried Mandlburger

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 115–120, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-115-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-115-2024, 2024

Concepts for compensation of wave effects when measuring through water surfaces in photogrammetric applications

Christian Mulsow, Hannes Sardemann, Laure-Anne Gueguen, Gottfried Mandelburger, and Hans-Gerd Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 289–295, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-289-2024, 2024

Multimedia Photogrammetry with non-planar Water Surfaces – Accuracy Analysis on Simulation Basis

Hannes Sardemann, Christian Mulsow, Laure-Anne Gueguen, Gottfried Mandlburger, and Hans-Gerd Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 363–369, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-363-2024, 2024

Under and Through Water Datasets for Geospatial Studies: the 2023 ISPRS Scientific Initiative “NAUTILUS”

Alessio Calantropio, Fabio Menna, Dimitrios Skarlatos, Caterina Balletti, Gottfried Mandlburger, Panagiotis Agrafiotis, Filiberto Chiabrando, Andrea Maria Lingua, Alessia Giaquinto, and Erica Nocerino

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 33–40, https://doi.org/10.5194/isprs-annals-X-2-2024-33-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-33-2024, 2024

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

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

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

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

EVALUATING DIFFERENT WATER-LAND-BOUNDARY APPROXIMATIONS TO IMPROVE SAR-DERIVED DIGITAL ELEVATION MODELS

B. Schneider, E. Wortmeyer, S. Schmitz, A. Thiele, P. Havel, and H. Dirks

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 51–56, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-51-2021,https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-51-2021, 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

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

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

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

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

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 727–734, https://doi.org/10.5194/isprs-annals-V-2-2020-727-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-727-2020, 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

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

ULTRA-HIGH PRECISION UAV-BASED LIDAR AND DENSE IMAGE MATCHING

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