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

Derivation of Tree Stem Curve and Volume Using Point Clouds

Abdul Nurunnabi, Felicia Teferle, Ana Novo, Jesús Balado, and Emmett Ientilucci

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W11-2024, 81–88, https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-81-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-W11-2024-81-2024, 2024

Large-Scale 3D Terrain Reconstruction Using 3D Gaussian Splatting for Visualization and Simulation

Meida Chen, Devashish Lal, Zifan Yu, Jiuyi Xu, Andrew Feng, Suya You, Abdul Nurunnabi, and Yangming Shi

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 49–54, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-49-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-49-2024, 2024

Development of a Precise Tree Structure from LiDAR Point Clouds

Abdul Nurunnabi, Felicia Teferle, Debra F. Laefer, Meida Chen, and Mir Masoom Ali

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-2-2024, 301–308, https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-301-2024,https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-301-2024, 2024

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

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

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