|
03 Sep 2020
AN OPTIMIZED SFC APPROACH FOR ND WINDOW QUERYING ON POINT CLOUDS
H. Liu, P. Van Oosterom, M. Meijers, and E. Verbree
Related authors
AN EFFICIENT ND-POINT DATA STRUCTURE FOR QUERYING FLOOD RISK
H. Liu, P. Van Oosterom, B. Mao, M. Meijers, and R. Thompson
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 367–374, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-367-2021,https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-367-2021, 2021
BIM-LADM AMALGAMATION — A REVIEW
A. Zamzuri, A. Abdul Rahman, M. I. Hassan, and P. van Oosterom
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W9-2024, 391–401, https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-391-2024,https://doi.org/10.5194/isprs-archives-XLVIII-4-W9-2024-391-2024, 2024
Preface
Peter van Oosterom, Hendrik Ploeger, Ali Mansourian, Simon Scheider, Rob Lemmens, and Bastiaan van Loenen
AGILE GIScience Ser., 4, 1, https://doi.org/10.5194/agile-giss-4-1-2023,https://doi.org/10.5194/agile-giss-4-1-2023, 2023
PCSERVE – ND-POINTCLOUDS RETRIEVAL OVER THE WEB
M. Meijers
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W2-2022, 193–200, https://doi.org/10.5194/isprs-annals-X-4-W2-2022-193-2022,https://doi.org/10.5194/isprs-annals-X-4-W2-2022-193-2022, 2022
INFERRING ROOF SEMANTICS FOR MORE ACCURATE SOLAR POTENTIAL ASSESSMENT
I. Apra, C. Bachert, C. Cáceres Tocora, Ö. Tufan, O. Veselý, and E. Verbree
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W4-2021, 33–37, https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-33-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W4-2021-33-2021, 2021
POINT-BASED MORPHOLOGICAL OPENING WITH INPUT DATA RETRIEVAL
J. Balado, P. van Oosterom, L. Díaz-Vilariño, and H. Lorenzo
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4-W2-2021, 53–58, https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-53-2021,https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-53-2021, 2021
AN EFFICIENT ND-POINT DATA STRUCTURE FOR QUERYING FLOOD RISK
H. Liu, P. Van Oosterom, B. Mao, M. Meijers, and R. Thompson
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 367–374, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-367-2021,https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-367-2021, 2021
A COMPARATIVE STUDY OF POINT CLOUDS SEMANTIC SEGMENTATION USING THREE DIFFERENT NEURAL NETWORKS ON THE RAILWAY STATION DATASET
Y. A. Lumban-Gaol, Z. Chen, M. Smit, X. Li, M. A. Erbaşu, E. Verbree, J. Balado, M. Meijers, and N. van der Vaart
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 223–228, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-223-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-223-2021, 2021
FROM POINT CLOUDS TO 3D ISOVISTS IN INDOOR ENVIRONMENTS
L. Díaz-Vilariño, L. González-deSantos, E. Verbree, G. Michailidou, and S. Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 149–154, https://doi.org/10.5194/isprs-archives-XLII-4-149-2018,https://doi.org/10.5194/isprs-archives-XLII-4-149-2018, 2018
LADM AND INTERLIS AS A PERFECT MATCH FOR 3D CADASTRE
E. Kalogianni, E. Dimopoulou, W. Quak, and P. Van Oosterom
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W7, 23–26, https://doi.org/10.5194/isprs-archives-XLII-4-W7-23-2017,https://doi.org/10.5194/isprs-archives-XLII-4-W7-23-2017, 2017