HexDTM - A method of thinning LiDAR point clouds using cartographic thematic data classification

Adam Inglot^*, P. Raposo, Kristian Kozioł

^*Corresponding author for this work

Research output: Contribution to conference › Abstract › Academic

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Original language	English
Number of pages	2
DOIs	https://doi.org/10.5194/ica-abs-7-61-2024
Publication status	Published - 2 Sept 2024
Event	European Cartographic Conference, EuroCarto 2024 - TU Wien, Vienna, Austria Duration: 9 Sept 2024 → 11 Sept 2024

Conference	European Cartographic Conference, EuroCarto 2024
Abbreviated title	EuroCarto 2024
Country/Territory	Austria
City	Vienna
Period	9/09/24 → 11/09/24

Access to Document

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title = "HexDTM - A method of thinning LiDAR point clouds using cartographic thematic data classification",

author = "Adam Inglot and P. Raposo and Kristian Kozio{\l}",

year = "2024",

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TY - CONF

T1 - HexDTM - A method of thinning LiDAR point clouds using cartographic thematic data classification

AU - Inglot, Adam

AU - Raposo, P.

AU - Kozioł, Kristian

PY - 2024/9/2

Y1 - 2024/9/2

U2 - 10.5194/ica-abs-7-61-2024

DO - 10.5194/ica-abs-7-61-2024

M3 - Abstract

T2 - European Cartographic Conference, EuroCarto 2024

Y2 - 9 September 2024 through 11 September 2024

ER -