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

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

doi:https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-31-2021

Airborne Cross-Source Point Clouds Fusion by Slice-to-Slice Adjustment

Shahoriar Parvaz, Felicia Teferle, and Abdul Nurunnabi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W4-2024, 161–168, https://doi.org/10.5194/isprs-annals-X-4-W4-2024-161-2024,https://doi.org/10.5194/isprs-annals-X-4-W4-2024-161-2024, 2024

Calculating of Taftan Volcano Displacement Using PSI Technique and Sentinel 1 Images

Mahdieh Shirmohammadi, Saied Pirasteh, Jie Shen, and Jonathan Li

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-2024, 213–218, https://doi.org/10.5194/isprs-annals-X-1-2024-213-2024,https://doi.org/10.5194/isprs-annals-X-1-2024-213-2024, 2024

DETECTION AND SEGMENTATION OF POLE-LIKE OBJECTS IN MOBILE LASER SCANNING POINT CLOUDS

A. Nurunnabi, Y. Sadahiro, F. N. Teferle, D. F. Laefer, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 27–34, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-27-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-27-2023, 2023

DEEPURBANMODELLER (DUM): A PROCESS-INFORMED NEURAL ARCHITECTURE FOR HIGH-PRECISION URBAN SURFACE TEMPERATURE PREDICTION

Y. Zang, G. Huang, W. Liu, L. Chen, D. Wu, C. Wang, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 71–76, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-71-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-71-2023, 2023

Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy

Adriaan L. van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer, and Roderik C. Lindenbergh

Nat. Hazards Earth Syst. Sci., 23, 3723–3745, https://doi.org/10.5194/nhess-23-3723-2023,https://doi.org/10.5194/nhess-23-3723-2023, 2023

Short summary

A Comparative Study of Semantic Segmentation using Deep Neural Networks in a GNSS-denied Underground Parking Lot

Kristie Hu, Jing Du, Xinghan Gong, Lingfei Ma, and Jonathan Li

Adv. Cartogr. GIScience Int. Cartogr. Assoc., 4, 18, https://doi.org/10.5194/ica-adv-4-18-2023,https://doi.org/10.5194/ica-adv-4-18-2023, 2023

Digital twins of building extraction from dual-channel airborne LiDAR point clouds

Yiping Chen, Huifang Feng, and Jonathan Li

Abstr. Int. Cartogr. Assoc., 6, 38, https://doi.org/10.5194/ica-abs-6-38-2023,https://doi.org/10.5194/ica-abs-6-38-2023, 2023

Using Least Cost Path Analysis to Plan a New Bypass Route on Highway 401 to Mitigate Traffic Congestion and Impacts in the City of Toronto, Ontario

Kristie Hu and Jonathan Li

Abstr. Int. Cartogr. Assoc., 6, 94, https://doi.org/10.5194/ica-abs-6-94-2023,https://doi.org/10.5194/ica-abs-6-94-2023, 2023

SPDC: A SUPER-POINT AND POINT COMBINING BASED DUAL-SCALE CONTRASTIVE LEARNING NETWORK FOR POINT CLOUD SEMANTIC SEGMENTATION

S. Zhang, W. Huang, Y. Chen, S. Zhang, W. Zhang, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 571–578, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-571-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-571-2023, 2023

CHARACTERIZATION OF MORPHOLOGICAL SURFACE ACTIVITIES DERIVED FROM NEAR-CONTINUOUS TERRESTRIAL LIDAR TIME SERIES

D. Hulskemper, K. Anders, J. A. Á. Antolínez, M. Kuschnerus, B. Höfle, and R. Lindenbergh

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 53–60, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-53-2022,https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-53-2022, 2022

CLEARANCE MEASUREMENT VALIDATION FOR HIGHWAY INFRASTRUCTURE WITH USE OF LIDAR POINT CLOUDS

J. P. Meinderts, R. Lindenbergh, D. H. van der Heide, A. Amiri-Simkooei, and L. Truong-Hong

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-W2-2022, 69–76, https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-69-2022,https://doi.org/10.5194/isprs-archives-XLVIII-2-W2-2022-69-2022, 2022

kCV-B: BOOTSTRAP WITH CROSS-VALIDATION FOR DEEP LEARNING MODEL DEVELOPMENT, ASSESSMENT AND SELECTION

A. Nurunnabi, F. N. Teferle, D. F. Laefer, F. Remondino, I. R. Karas, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W3-2022, 111–118, https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-111-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W3-2022-111-2022, 2022

ROBUST TECHNIQUES FOR BUILDING FOOTPRINT EXTRACTION IN AERIAL LASER SCANNING 3D POINT CLOUDS

A. Nurunnabi, N. Teferle, J. Balado, M. Chen, F. Poux, and C. Sun

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-W2-2022, 43–50, https://doi.org/10.5194/isprs-archives-XLVIII-3-W2-2022-43-2022,https://doi.org/10.5194/isprs-archives-XLVIII-3-W2-2022-43-2022, 2022

EFFICIENT SPARSE STREET FURNITURE EXTRACTION FROM MOBILE LASER SCANNING POINT CLOUDS

L. Truong-Hong, R. C. Lindenbergh, and M. J. Vermeij

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W4-2022, 161–168, https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-161-2022,https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-161-2022, 2022

SPATIAL MODELLING OF COVID-19 INCIDENCE RATE IN CANADA

S. N. Fatholahi, C. Pan, L. Wang, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 111–116, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-111-2022,https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-111-2022, 2022

IMPACT OF DEEP LEARNING-BASED SUPER-RESOLUTION ON BUILDING FOOTPRINT EXTRACTION

H. He, K. Gao, W. Tan, L. Wang, S. N. Fatholahi, N. Chen, M. A. Chapman, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 31–37, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-31-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-31-2022, 2022

A SHORT-CUT CONNECTIONS-BASED NEURAL NETWORK FOR BUILDING EXTRACTION FROM HIGH RESOLUTION ORTHOIMAGERY

Z. He, H. He, J. Li, M. A. Chapman, and H. Ding

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 39–44, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-39-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-39-2022, 2022

ROBUST APPROACH FOR URBAN ROAD SURFACE EXTRACTION USING MOBILE LASER SCANNING 3D POINT CLOUDS

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

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 59–66, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-59-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-59-2022, 2022

DEEP LEARNING-BASED METHOD TO EXTEND THE TIME SERIES OF GLOBAL ANNUAL VIIRS-LIKE NIGHTTIME LIGHT DATA

L. Wang, W. Tan, H. Xu, H. He, N. Chen, D. Li, M. A. Chapman, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 73–78, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-73-2022,https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-73-2022, 2022

RESAMPLING METHODS FOR A RELIABLE VALIDATION SET IN DEEP LEARNING BASED POINT CLOUD CLASSIFICATION

A. Nurunnabi and F. N. Teferle

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 617–624, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-617-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-617-2022, 2022

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

CHANGES OF SPATIAL DISPARITIES IN SATELLITE-DERIVED PM_2.5 EXPOSURES OVER 2010–2019 IN CHINA

M. Liu, G. Zhou, Z. Liu, L. Han, and J. Li

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 297–302, https://doi.org/10.5194/isprs-annals-V-3-2022-297-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-297-2022, 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

Waterloo Building Dataset: A large-scale very-high-spatial-resolution image dataset for building rooftop extraction

Hongjie He, Zijian Jiang, Weikai Tan, Yuwei Cai, Sarah Narges Fatholahi, Kyle Gao, Hongzhang Xu, Bingxu Hu, Liyuan Qing, and Jonathan Li

Abstr. Int. Cartogr. Assoc., 3, 105, https://doi.org/10.5194/ica-abs-3-105-2021,https://doi.org/10.5194/ica-abs-3-105-2021, 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

A CAPSNETS APPROACH TO PAVEMENT CRACK DETECTION USING MOBILE LASER SCANNNING POINT CLOUDS

W. Zhu, W. Tan, L. Ma, D. Zhang, J. Li, and M. A. Chapman

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 39–44, https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-39-2021,https://doi.org/10.5194/isprs-archives-XLIII-B1-2021-39-2021, 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

CLOUD-BASED GEOSPATIAL PLATFORM IN SUPPORT OF SUSTAINABLE DEVELOPMENT GOALS 2030: HOW TO BE PREPARED FOR EARTHQUAKE DISASTERS?

S. Pirasteh, G. Shamsipour, G. Liu, R. Hajibagheri, A. Ghasemzadeh, M. Jokar, H. Zarbakhsh, F. Behnamfar, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1705–1708, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1705-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1705-2020, 2020

AUTOMATIC TRAFFIC SIGN DETECTION AND RECOGNITION USING MOBILE LIDAR DATA WITH DIGITAL IMAGES

H. Guan, Y. Yu, D. Li, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 599–603, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-599-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-599-2020, 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

A BOUNDARY-ENHANCED SUPERVOXEL METHOD FOR EXTRACTION OF ROAD EDGES IN MLS POINT CLOUDS

Z. Sha, Y. Chen, W. Li, C. Wang, A. Nurunnabi, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 65–71, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-65-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-65-2020, 2020

SPATIAL RESOLUTION ENHANCEMENT OF LAND COVER MAPPING USING DEEP CONVOLUTIONAL NETS

Q. Yu, W. Liu, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 85–89, https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-85-2020,https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-85-2020, 2020

ESTIMATING PM_2.5 CONCENTRATIONS IN BRITISH COLUMBIA, CANADA DURING WILDFIRE SEASON USING SATELLITE OPTICAL DATA

S. N. Fatholahi, Y. Gu, M. Liu, L. Ma, Y. Chen, and J. Li

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 71–79, https://doi.org/10.5194/isprs-annals-V-1-2020-71-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-71-2020, 2020

ON-ROAD INFORMATION EXTRACTION FROM LIDAR DATA VIA MULTIPLE FEATURE MAPS

H. Wu, Z. Xie, C. Wen, C. Wang, and J. Li

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 207–213, https://doi.org/10.5194/isprs-annals-V-1-2020-207-2020,https://doi.org/10.5194/isprs-annals-V-1-2020-207-2020, 2020

Automated Extraction of Driving Lines from Mobile Laser Scanning Point Clouds

Lingfei Ma, Tianyu Wu, Ying Li, Jonathan Li, Yiping Chen, and Michael Chapman

Adv. Cartogr. GIScience Int. Cartogr. Assoc., 1, 12, https://doi.org/10.5194/ica-adv-1-12-2019,https://doi.org/10.5194/ica-adv-1-12-2019, 2019

3D-CNN BASED TREE SPECIES CLASSIFICATION USING MOBILE LIDAR DATA

H. Guan, Y. Yu, W. Yan, D. Li, and J. Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 989–993, https://doi.org/10.5194/isprs-archives-XLII-2-W13-989-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-989-2019, 2019

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

MULTISPECTRAL AIRBORNE LASER SCANNING POINT-CLOUDS FOR LAND COVER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS

L. Ma, Z. Chen, Y. Li, D. Zhang, J. Li, and M. A. Chapman

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 79–86, https://doi.org/10.5194/isprs-archives-XLII-2-W13-79-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-79-2019, 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

TOWARDS A HIGH-RESOLUTION DRONE-BASED 3D MAPPING DATASET TO OPTIMISE FLOOD HAZARD MODELLING

D. Backes, G. Schumann, F. N. Teferle, and J. Boehm

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 181–187, https://doi.org/10.5194/isprs-archives-XLII-2-W13-181-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-181-2019, 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

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

R. P. A. Bormans, R. C. Lindenbergh, and F. Karimi Nejadasl

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 141–148, https://doi.org/10.5194/isprs-archives-XLII-2-141-2018,https://doi.org/10.5194/isprs-archives-XLII-2-141-2018, 2018

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

A PRELIMINARY INVESTIGATION ON COMPARISON AND TRANSFORMATION OF SENTINEL-2 MSI AND LANDSAT 8 OLI

F. Chen, S. Lou, Q. Fan, J. Li, C. Wang, and M. Claverie

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2619–2624, https://doi.org/10.5194/isprs-archives-XLII-3-2619-2018,https://doi.org/10.5194/isprs-archives-XLII-3-2619-2018, 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

Noise characteristics in Zenith Total Delay from homogeneously reprocessed GPS time series

Anna Klos, Addisu Hunegnaw, Felix Norman Teferle, Kibrom Ebuy Abraha, Furqan Ahmed, and Janusz Bogusz

Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2016-385,https://doi.org/10.5194/amt-2016-385, 2016

Revised manuscript not accepted

Short summary

Evaluation of IWV from the numerical weather prediction WRF model with PPP GNSS processing for Bulgaria

Tzvetan Simeonov, Dmitry Sidorov, Felix Norman Teferle, Georgi Milev, and Guergana Guerova

Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2016-152,https://doi.org/10.5194/amt-2016-152, 2016

Revised manuscript not accepted

SPMK AND GRABCUT BASED TARGET EXTRACTION FROM HIGH RESOLUTION REMOTE SENSING IMAGES

Weihong Cui, Guofeng Wang, Chenyi Feng, Yiwei Zheng, Jonathan Li, and Yi Zhang

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 195–203, https://doi.org/10.5194/isprs-archives-XLI-B7-195-2016,https://doi.org/10.5194/isprs-archives-XLI-B7-195-2016, 2016

AUTOMATIC RAILWAY POWER LINE EXTRACTION USING MOBILE LASER SCANNING DATA

Shanxin Zhang, Cheng Wang, Zhuang Yang, Yiping Chen, and Jonathan Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 615–619, https://doi.org/10.5194/isprs-archives-XLI-B5-615-2016,https://doi.org/10.5194/isprs-archives-XLI-B5-615-2016, 2016

ESTIMATING PM2.5 IN THE BEIJING-TIANJIN-HEBEI REGION USING MODIS AOD PRODUCTS FROM 2014 TO 2015

Yuenan Li, Jianjun Wang, Cheng Chen, Yifei Chen, and Jonathan Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 721–727, https://doi.org/10.5194/isprs-archives-XLI-B2-721-2016,https://doi.org/10.5194/isprs-archives-XLI-B2-721-2016, 2016

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

INVESTIGATING THE INFLUENCE OF TREE COVERAGE ON PROPERTY CRIME: A CASE STUDY IN THE CITY OF VANCOUVER, BRITISH COLUMBIA, CANADA

Yifei Chen, Yuenan Li, and Jonathan Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 695–702, https://doi.org/10.5194/isprs-archives-XLI-B2-695-2016,https://doi.org/10.5194/isprs-archives-XLI-B2-695-2016, 2016

RAPID INSPECTION OF PAVEMENT MARKINGS USING MOBILE LIDAR POINT CLOUDS

Haocheng Zhang, Jonathan Li, Ming Cheng, and Cheng Wang

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 717–723, https://doi.org/10.5194/isprs-archives-XLI-B1-717-2016,https://doi.org/10.5194/isprs-archives-XLI-B1-717-2016, 2016

A FEASIBILITY STUDY ON USE OF GENERIC MOBILE LASER SCANNING SYSTEM FOR DETECTING ASPHALT PAVEMENT CRACKS

Xinqu Chen and Jonathan Li

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 545–549, https://doi.org/10.5194/isprs-archives-XLI-B1-545-2016,https://doi.org/10.5194/isprs-archives-XLI-B1-545-2016, 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

An approach to computing direction relations between separated object groups

H. Yan, Z. Wang, and J. Li

Geosci. Model Dev., 6, 1591–1599, https://doi.org/10.5194/gmd-6-1591-2013,https://doi.org/10.5194/gmd-6-1591-2013, 2013

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

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