ISPRS-ARCHIVES - Relations - INFLUENCE OF DOMAIN SHIFT FACTORS ON DEEP SEGMENTATION OF THE DRIVABLE PATH OF AN AUTONOMOUS VEHICLE

PROBABILISTIC VEGETATION TRANSITIONS IN DUNES BY COMBINING SPECTRAL AND LIDAR DATA

H. S. Kathmann, A. L. van Natijne, and R. C. Lindenbergh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1033–1040, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1033-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1033-2022, 2022

DETECTING ANTHROPOGENIC VOLUME CHANGES IN CROSS SECTIONS OF A SANDY BEACH WITH PERMANENT LASER SCANNING

M. Kuschnerus, R. Lindenbergh, Q. Lodder, E. Brand, and S. Vos

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1055–1061, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1055-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1055-2022, 2022

SEMANTIC SEGMENTATION OF HISTORICAL PHOTOGRAPHS OF THE ANTARCTICA PENINSULA

F. Dahle, J. Tanke, B. Wouters, and R. Lindenbergh

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 237–244, https://doi.org/10.5194/isprs-annals-V-2-2022-237-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-237-2022, 2022

A TWO-STEP FEATURE EXTRACTION ALGORITHM: APPLICATION TO DEEP LEARNING FOR POINT CLOUD CLASSIFICATION

A. Nurunnabi, F. N. Teferle, D. F. Laefer, R. C. Lindenbergh, and A. Hunegnaw

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 401–408, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-401-2022,https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-401-2022, 2022

INVESTIGATION OF POINTNET FOR SEMANTIC SEGMENTATION OF LARGE-SCALE OUTDOOR POINT CLOUDS

A. Nurunnabi, F. N. Teferle, J. Li, R. C. Lindenbergh, and S. Parvaz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W5-2021, 397–404, https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-397-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-397-2021, 2021

TOWARDS A DIGITAL TWIN OF A STORAGE TANK USING LASER SCAN DATA

L. Truong-Hong, N. Nguyen, R. Lindenbergh, P. Fisk, and T. Huynh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W4-2021, 119–124, https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-119-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-119-2021, 2021

AN EFFICIENT DEEP LEARNING APPROACH FOR GROUND POINT FILTERING IN AERIAL LASER SCANNING POINT CLOUDS

A. Nurunnabi, F. N. Teferle, J. Li, R. C. Lindenbergh, and A. Hunegnaw

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 31–38, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-31-2021,https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-31-2021, 2021

ROAD TYPE CLASSIFICATION OF MLS POINT CLOUDS USING DEEP LEARNING

Q. Bai, R. C. Lindenbergh, J. Vijverberg, and J. A. P. Guelen

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 115–122, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-115-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-115-2021, 2021

ENVIRONMENTAL INFLUENCES ON THE STABILITY OF A PERMANENTLY INSTALLED LASER SCANNER

M. Kuschnerus, D. Schröder, and R. Lindenbergh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 745–752, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-745-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-745-2021, 2021

INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS

K. Anders, L. Winiwarter, H. Mara, R. C. Lindenbergh, S. E. Vos, and B. Höfle

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 137–144, https://doi.org/10.5194/isprs-annals-V-2-2021-137-2021,https://doi.org/10.5194/isprs-annals-V-2-2021-137-2021, 2021

Coastal change patterns from time series clustering of permanent laser scan data

Mieke Kuschnerus, Roderik Lindenbergh, and Sander Vos

Earth Surf. Dynam., 9, 89–103, https://doi.org/10.5194/esurf-9-89-2021,https://doi.org/10.5194/esurf-9-89-2021, 2021

Short summary

TRAINING IN INNOVATIVE TECHNOLOGIES FOR CLOSE-RANGE SENSING IN ALPINE TERRAIN – 3RD EDITION

M. Rutzinger, K. Anders, M. Bremer, B. Höfle, R. Lindenbergh, S. Oude Elberink, F. Pirotti, M. Scaioni, and T. Zieher

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B5-2020, 243–250, https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020,https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020, 2020

TAILORED FEATURES FOR SEMANTIC SEGMENTATION WITH A DGCNN USING FREE TRAINING SAMPLES OF A COLORED AIRBORNE POINT CLOUD

E. Widyaningrum, M. K. Fajari, R. C. Lindenbergh, and M. Hahn

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 339–346, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-339-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-339-2020, 2020

A FRAMEWORK TO EXTRACT STRUCTURAL ELEMENTS OF CONSTRUCTION SITE FROM LASER SCANNING

L. Truong-Hong and R. C. Lindenbergh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 501–506, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-501-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-501-2020, 2020

CLUSTERING TIME SERIES OF REPEATED SCAN DATA OF SANDY BEACHES

R. Lindenbergh, S. van der Kleij, M. Kuschnerus, S. Vos, and S. de Vries

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1039–1046, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1039-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1039-2019, 2019

AUTOMATIC DETECTION OF ROAD EDGES FROM AERIAL LASER SCANNING DATA

L. Truong-Hong, D. F. Laefer, and R. C. Lindenbergh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1135–1140, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1135-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1135-2019, 2019

MOBILE LASER SCAN DATA FOR ROAD SURFACE DAMAGE DETECTION

B. B. van der Horst, R. C. Lindenbergh, and S. W. J. Puister

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1141–1148, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1141-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1141-2019, 2019

AN IMPROVED COHERENT POINT DRIFT METHOD FOR TLS POINT CLOUD REGISTRATION OF COMPLEX SCENES

Y. Zang and R. C. Lindenbergh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1169–1175, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1169-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1169-2019, 2019

FULLY CONVOLUTIONAL NETWORKS FOR STREET FURNITURE IDENTIFICATION IN PANORAMA IMAGES

Y. Ao, J. Wang, M. Zhou, R. C. Lindenbergh, and M. Y. Yang

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 13–20, https://doi.org/10.5194/isprs-archives-XLII-2-W13-13-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-13-2019, 2019

BUILDING SEGMENTATION FROM AIRBORNE VHR IMAGES USING MASK R-CNN

K. Zhou, Y. Chen, I. Smal, and R. Lindenbergh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 155–161, https://doi.org/10.5194/isprs-archives-XLII-2-W13-155-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-155-2019, 2019

HIGH-FREQUENCY 3D GEOMORPHIC OBSERVATION USING HOURLY TERRESTRIAL LASER SCANNING DATA OF A SANDY BEACH

K. Anders, R. C. Lindenbergh, S. E. Vos, H. Mara, S. de Vries, and B. Höfle

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 317–324, https://doi.org/10.5194/isprs-annals-IV-2-W5-317-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-317-2019, 2019

POINTNET FOR THE AUTOMATIC CLASSIFICATION OF AERIAL POINT CLOUDS

M. Soilán, R. Lindenbergh, B. Riveiro, and A. Sánchez-Rodríguez

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 445–452, https://doi.org/10.5194/isprs-annals-IV-2-W5-445-2019,https://doi.org/10.5194/isprs-annals-IV-2-W5-445-2019, 2019

MONITORING OF PROGRESSIVE DAMAGE IN BUILDINGS USING LASER SCAN DATA

I. Puente, R. Lindenbergh, A. Van Natijne, R. Esposito, and R. Schipper

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 923–929, https://doi.org/10.5194/isprs-archives-XLII-2-923-2018,https://doi.org/10.5194/isprs-archives-XLII-2-923-2018, 2018

AUTOMATED CALIBRATION OF FEM MODELS USING LIDAR POINT CLOUDS

B. Riveiro, G. Cubreiro, B. Conde, M. Cabaleiro, R. Lindenbergh, M. Soilán, and J. C. Caamaño

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 969–974, https://doi.org/10.5194/isprs-archives-XLII-2-969-2018,https://doi.org/10.5194/isprs-archives-XLII-2-969-2018, 2018

MASSIVE LINKING OF PS-INSAR DEFORMATIONS TO A NATIONAL AIRBORNE LASER POINT CLOUD

A. L. van Natijne, R. C. Lindenbergh, and R. F. Hanssen

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1137–1144, https://doi.org/10.5194/isprs-archives-XLII-2-1137-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1137-2018, 2018

VALIDATING A WORKFLOW FOR TREE INVENTORY UPDATING WITH 3D POINT CLOUDS OBTAINED BY MOBILE LASER SCANNING

J. Wang and R. Lindenbergh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1163–1168, https://doi.org/10.5194/isprs-archives-XLII-2-1163-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1163-2018, 2018

EXTRACTION OF BUILDING ROOF EDGES FROM LIDAR DATA TO OPTIMIZE THE DIGITAL SURFACE MODEL FOR TRUE ORTHOPHOTO GENERATION

E. Widyaningrum, R. C. Lindenbergh, B. G. H. Gorte, and K. Zhou

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1199–1205, https://doi.org/10.5194/isprs-archives-XLII-2-1199-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1199-2018, 2018

3D BUILDING CHANGE DETECTION BETWEEN CURRENT VHR IMAGES AND PAST LIDAR DATA

K. Zhou, B. Gorte, R. Lindenbergh, and E. Widyaningrum

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1229–1235, https://doi.org/10.5194/isprs-archives-XLII-2-1229-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1229-2018, 2018

CHANGE ANALYSIS OF LASER SCANS OF LABORATORY ROCK SLOPES SUBJECT TO WAVE ATTACK TESTING

Y. Shen, R. Lindenbergh, B. Hofland, and R. Kramer

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 139–147, https://doi.org/10.5194/isprs-annals-IV-2-W4-139-2017,https://doi.org/10.5194/isprs-annals-IV-2-W4-139-2017, 2017

ROBUST CYLINDER FITTING IN THREE-DIMENSIONAL POINT CLOUD DATA

A. Nurunnabi, Y. Sadahiro, and R. Lindenbergh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 63–70, https://doi.org/10.5194/isprs-archives-XLII-1-W1-63-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-63-2017, 2017

THE IQMULUS URBAN SHOWCASE: AUTOMATIC TREE CLASSIFICATION AND IDENTIFICATION IN HUGE MOBILE MAPPING POINT CLOUDS

J. Böhm, M. Bredif, T. Gierlinger, M. Krämer, R. Lindenberg, K. Liu, F. Michel, and B. Sirmacek

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 301–307, https://doi.org/10.5194/isprs-archives-XLI-B3-301-2016,https://doi.org/10.5194/isprs-archives-XLI-B3-301-2016, 2016

Orientation dependent glacial changes at the Tibetan Plateau derived from 2003–2009 ICESat laser altimetry

V. H. Phan, R. C. Lindenbergh, and M. Menenti

The Cryosphere Discuss., https://doi.org/10.5194/tcd-8-2425-2014,https://doi.org/10.5194/tcd-8-2425-2014, 2014

Revised manuscript not accepted

ESA's Ice Sheets CCI: validation and inter-comparison of surface elevation changes derived from laser and radar altimetry over Jakobshavn Isbræ, Greenland – Round Robin results

J. F. Levinsen, K. Khvorostovsky, F. Ticconi, A. Shepherd, R. Forsberg, L. S. Sørensen, A. Muir, N. Pie, D. Felikson, T. Flament, R. Hurkmans, G. Moholdt, B. Gunter, R. C. Lindenbergh, and M. Kleinherenbrink

The Cryosphere Discuss., https://doi.org/10.5194/tcd-7-5433-2013,https://doi.org/10.5194/tcd-7-5433-2013, 2013

Revised manuscript not accepted

Geometric dependency of Tibetan lakes on glacial runoff

V. H. Phan, R. C. Lindenbergh, and M. Menenti

Hydrol. Earth Syst. Sci., 17, 4061–4077, https://doi.org/10.5194/hess-17-4061-2013,https://doi.org/10.5194/hess-17-4061-2013, 2013

INFLUENCE OF DOMAIN SHIFT FACTORS ON DEEP SEGMENTATION OF THE DRIVABLE PATH OF AN AUTONOMOUS VEHICLE

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