STRICT GEOMETRIC CALIBRATION OF AN UNDERWATER LASER TRIANGULATION SYSTEM

Sardemann, H.; Mulsow, C.; Maas, H.-G.

doi:https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-689-2021

Articles | Volume XLIII-B2-2021

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Articles | Volume XLIII-B2-2021

https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-689-2021

Articles | Volume XLIII-B2-2021

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28 Jun 2021

| 28 Jun 2021

STRICT GEOMETRIC CALIBRATION OF AN UNDERWATER LASER TRIANGULATION SYSTEM

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

H. Sardemann

Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Germany

C. Mulsow

Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Germany

H.-G. Maas

https://orcid.org/0000-0001-9034-3469

Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Germany

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ACCURACY ANALYSIS OF ESTIMATED CAMERA ORIENTATION PARAMETERS OF HISTORICAL IMAGES – CASE STUDY OF GEORG-SCHUMANN-BAU IN DRESDEN (GERMANY)

F. Maiwald and H. Sardemann

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 823–829, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-823-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-823-2022, 2022

Technical Note: Flow velocity and discharge measurement in rivers using terrestrial and unmanned-aerial-vehicle imagery

Anette Eltner, Hannes Sardemann, and Jens Grundmann

Hydrol. Earth Syst. Sci., 24, 1429–1445, https://doi.org/10.5194/hess-24-1429-2020,https://doi.org/10.5194/hess-24-1429-2020, 2020

Short summary

An automatic workflow is introduced to measure surface flow velocities in rivers. The provided tool enables the measurement of spatially distributed surface flow velocities independently of the image acquisition perspective. Furthermore, the study illustrates how river discharge in previously ungauged and unmeasured regions can be retrieved, considering the image-based flow velocities and digital elevation models of the studied river reach reconstructed with UAV photogrammetry.

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ACQUISITION OF GEOMETRICAL DATA OF SMALL RIVERS WITH AN UNMANNED WATER VEHICLE

H. Sardemann, A. Eltner, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1023–1027, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, 2018

AUTOMATIC SPATIO-TEMPORAL FLOW VELOCITY MEASUREMENT IN SMALL RIVERS USING THERMAL IMAGE SEQUENCES

D. Lin, A. Eltner, H. Sardemann, and H.-G. Maas

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 201–208, https://doi.org/10.5194/isprs-annals-IV-2-201-2018,https://doi.org/10.5194/isprs-annals-IV-2-201-2018, 2018

A COMPARATIVE STUDY OF DEEP ARCHITECTURES FOR VOXEL SEGMENTATION IN VOLUME IMAGES

F. Wagner and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1667–1676, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1667-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1667-2023, 2023

AN APPROACH TO SUBPIXEL ACCURACY WIDENING CRACK WIDTH DETERMINATION IN IMAGE SEQUENCES

F. Liebold and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 61–68, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-61-2022,https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-61-2022, 2022

ON THE USE OF POLARIZATION CAMERAS FOR THE DETERMINATION OF CONCRETE MOISTURE

S. Isfort, F. Maiwald, C. Mulsow, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 113–119, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-113-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-113-2022, 2022

UNCERTAINTY MODELING FOR POINT CLOUD-BASED AUTOMATIC INDOOR SCENE RECONSTRUCTION BY STRICT ERROR PROPAGATION ANALYSIS

M. Jarzabek-Rychard and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 395–400, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-395-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-395-2022, 2022

ACCURACY ANALYSIS OF ESTIMATED CAMERA ORIENTATION PARAMETERS OF HISTORICAL IMAGES – CASE STUDY OF GEORG-SCHUMANN-BAU IN DRESDEN (GERMANY)

F. Maiwald and H. Sardemann

DETERMINATION OF 3D WATER TURBIDITY PARAMETER FIELDS FROM LIDAR BATHYMETRY DATA BY VOLUMETRIC DATA ANALYSIS

K. Richter, D. Mader, P. Westfeld, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 945–951, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022, 2022

AUTOMATIC ENRICHMENT OF INDOOR 3D MODELS USING A DEEP LEARNING APPROACH BASED ON SINGLE IMAGES WITH UNKNOWN CAMERA POSES

M. Jarząbek-Rychard and H-G. Maas

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-5-W1-2022, 1–7, https://doi.org/10.5194/isprs-annals-VIII-5-W1-2022-1-2022,https://doi.org/10.5194/isprs-annals-VIII-5-W1-2022-1-2022, 2022

3D LEAST SQUARES MATCHING APPLIED TO MICRO-TOMOGRAPHY DATA

F. Liebold, R. Lorenzoni, I. Curosu, F. Léonard, V. Mechtcherine, S. Paciornik, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 533–539, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-533-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-533-2021, 2021

WATER TURBIDITY ESTIMATION FROM LIDAR BATHYMETRY DATA BY FULL-WAVEFORM ANALYSIS – COMPARISON OF TWO APPROACHES

K. Richter, D. Mader, P. Westfeld, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 681–688, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021, 2021

CALVING DYNAMICS DERIVED FROM SATELLITE SAR DATA IN SUPPORT OF MASS BALANCE ESTIMATIONS IN LANGE GLACIER, ANTARCTICA

E. Johnson, D. Floricioiu, E. Schwalbe, R. Koschitzki, H.-G. Maas, C. Cardenas, and G. Casassa

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 125–127, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-125-2020,https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-125-2020, 2020

STEREO-PHOTOGRAMMETRIC MEASUREMENT OF SPATIO-TEMPORAL VELOCITY FIELDS AT LANGE GLACIER, KING GEORGE ISLAND

E. Schwalbe, R. Koschitzki, E. Johnson, D. F. Mojica Moncada, B. Schröter, C. Cardenas, G. Casassa, and H.-G. Maas

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3-W2-2020, 129–131, https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-129-2020,https://doi.org/10.5194/isprs-annals-IV-3-W2-2020-129-2020, 2020

INVESTIGATION ON MULTI-SENSOR FUSION STRATEGIES FOR IMPROVED ORIENTATION DETERMINATION IN MOBILE PHONE IMAGING APPLICATIONS

M. Elias and H.-G. Maas

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 181–187, https://doi.org/10.5194/isprs-annals-V-1-2020-181-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-181-2020, 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

Technical Note: Flow velocity and discharge measurement in rivers using terrestrial and unmanned-aerial-vehicle imagery

Anette Eltner, Hannes Sardemann, and Jens Grundmann

Hydrol. Earth Syst. Sci., 24, 1429–1445, https://doi.org/10.5194/hess-24-1429-2020,https://doi.org/10.5194/hess-24-1429-2020, 2020

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CRACK WIDTH MEASUREMENT FOR NON-PLANAR SURFACES BY TRIANGLE MESH ANALYSIS IN CIVIL ENGINEERING MATERIAL TESTING

F. Liebold, H.-G. Maas, and A. A. Heravi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W18, 107–113, https://doi.org/10.5194/isprs-archives-XLII-2-W18-107-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W18-107-2019, 2019

AUTOMATED ALIGNMENT OF LOCAL POINT CLOUDS IN DIGITAL BUILDING MODELS

T. Kaiser, C. Clemen, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W2, 35–39, https://doi.org/10.5194/isprs-archives-XLII-5-W2-35-2019,https://doi.org/10.5194/isprs-archives-XLII-5-W2-35-2019, 2019

DETECTION AND EXTRACTION OF WATER BOTTOM TOPOGRAPHY FROM LASERBATHYMETRY DATA BY USING FULL-WAVEFORM-STACKING TECHNIQUES

D. Mader, K. Richter, P. Westfeld, R. Weiß, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1053–1059, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1053-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1053-2019, 2019

UNSUPERVISED WINDOW EXTRACTION FROM PHOTOGRAMMETRIC POINT CLOUDS WITH THERMAL ATTRIBUTES

D. Lin, Z. Dong, X. Zhang, and H.-G. Maas

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 45–51, https://doi.org/10.5194/isprs-annals-IV-2-W5-45-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-45-2019, 2019

DESCRIBING THE VERTICAL STRUCTURE OF INFORMAL SETTLEMENTS ON THE BASIS OF LIDAR DATA – A CASE STUDY FOR FAVELAS (SLUMS) IN SAO PAULO CITY

S. C. L. Ribeiro, M. Jarzabek-Rychard, J. P. Cintra, and H.-G. Maas

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 437–444, https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-437-2019, 2019

IMPROVEMENTS IN LIDAR BATHYMETRY DATA ANALYSIS

H.-G. Maas, D. Mader, K. Richter, and P. Westfeld

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W10, 113–117, https://doi.org/10.5194/isprs-archives-XLII-2-W10-113-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W10-113-2019, 2019

WATCHING GRASS GROW- A PILOT STUDY ON THE SUITABILITY OF PHOTOGRAMMETRIC TECHNIQUES FOR QUANTIFYING CHANGE IN ABOVEGROUND BIOMASS IN GRASSLAND EXPERIMENTS

M. Kröhnert, R. Anderson, J. Bumberger, P. Dietrich, W. S. Harpole, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 539–542, https://doi.org/10.5194/isprs-archives-XLII-2-539-2018,https://doi.org/10.5194/isprs-archives-XLII-2-539-2018, 2018

THERMAL TEXTURE SELECTION AND CORRECTION FOR BUILDING FACADE INSPECTION BASED ON THERMAL RADIANT CHARACTERISTICS

D. Lin, M. Jarzabek-Rychard, D. Schneider, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 585–591, https://doi.org/10.5194/isprs-archives-XLII-2-585-2018,https://doi.org/10.5194/isprs-archives-XLII-2-585-2018, 2018

SUBAQUATIC DIGITAL ELEVATION MODELS FROM UAV-IMAGERY

C. Mulsow, R. Kenner, Y. Bühler, A. Stoffel, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 739–744, https://doi.org/10.5194/isprs-archives-XLII-2-739-2018,https://doi.org/10.5194/isprs-archives-XLII-2-739-2018, 2018

NUMERICAL SIMULATION AND EXPERIMENTAL VALIDATION OF WAVE PATTERN INDUCED COORDINATE ERRORS IN AIRBORNE LIDAR BATHYMETRY

K. Richter, D. Mader, P. Westfeld, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 961–967, https://doi.org/10.5194/isprs-archives-XLII-2-961-2018,https://doi.org/10.5194/isprs-archives-XLII-2-961-2018, 2018

ACQUISITION OF GEOMETRICAL DATA OF SMALL RIVERS WITH AN UNMANNED WATER VEHICLE

H. Sardemann, A. Eltner, and H.-G. Maas

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1023–1027, https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1023-2018, 2018

TRAJECTORY BASED 3D FRAGMENT TRACKING IN HYPERVELOCITY IMPACT EXPERIMENTS

E. Watson, H.-G. Maas, F. Schäfer, and S. Hiermaier

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1175–1181, https://doi.org/10.5194/isprs-archives-XLII-2-1175-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1175-2018, 2018

SUB-PIXEL ACCURACY CRACK WIDTH DETERMINATION ON CONCRETE BEAMS IN LOAD TESTS BY TRIANGLE MESH GEOMETRY ANALYSIS

F. Liebold and H.-G. Maas

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 193–200, https://doi.org/10.5194/isprs-annals-IV-2-193-2018,https://doi.org/10.5194/isprs-annals-IV-2-193-2018, 2018

AUTOMATIC SPATIO-TEMPORAL FLOW VELOCITY MEASUREMENT IN SMALL RIVERS USING THERMAL IMAGE SEQUENCES

D. Lin, A. Eltner, H. Sardemann, and H.-G. Maas

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 201–208, https://doi.org/10.5194/isprs-annals-IV-2-201-2018,https://doi.org/10.5194/isprs-annals-IV-2-201-2018, 2018

The determination of high-resolution spatio-temporal glacier motion fields from time-lapse sequences

Ellen Schwalbe and Hans-Gerd Maas

Earth Surf. Dynam., 5, 861–879, https://doi.org/10.5194/esurf-5-861-2017,https://doi.org/10.5194/esurf-5-861-2017, 2017

Short summary

The simple use of time-lapse cameras as a visual observation tool may already be a great help for environmental investigations. However, beyond that, they have the potential to also deliver precise measurements with high temporal and spatial resolution when applying appropriate processing techniques. In this paper we introduce a method for the determination of glacier motion fields from time-lapse images, but it might also be adapted for other environmental motion analysis tasks.

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OPTICAL TRIANGULATION ON INSTATIONARY WATER SURFACES

C. Mulsow, H.-G. Maas, and B. Hentschel

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 85–91, https://doi.org/10.5194/isprs-archives-XLI-B5-85-2016,https://doi.org/10.5194/isprs-archives-XLI-B5-85-2016, 2016

STRICT GEOMETRIC CALIBRATION OF AN UNDERWATER LASER TRIANGULATION SYSTEM

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