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30 Jun 2021
AN EFFICIENT ND-POINT DATA STRUCTURE FOR QUERYING FLOOD RISK
H. Liu, P. Van Oosterom, B. Mao, M. Meijers, and R. Thompson
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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
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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
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
LADM AND INTERLIS AS A PERFECT MATCH FOR 3D CADASTRE
E. Kalogianni, E. Dimopoulou, W. Quak, and P. Van Oosterom
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