- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
MODELING ROLLERS USING TERRESTRIAL LIDAR POINTS IN A HOT-ROLLING STEEL MILL ; volume:XLIV-M-3-2021 ; year:2021 ; pages:29-36 ; extent:8
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIV-M-3-2021 (2021), 29-36 (gesamt 8)
- Creator
-
Deshpande, S. S.
Falk, M.
Plooster, N.
- DOI
-
10.5194/isprs-archives-XLIV-M-3-2021-29-2021
- URN
-
urn:nbn:de:101:1-2021081205181822745840
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:02 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Deshpande, S. S.
- Falk, M.
- Plooster, N.
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Evaluating maize phenotype dynamics under drought stress using terrestrial lidar
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FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES
Slipping–rolling transitions of a body with two contact points
AIRBORNE LIDAR POINTS CLASSIFICATION BASED ON TENSOR SPARSE REPRESENTATION
CSF BASED NON-GROUND POINTS EXTRACTION FROM LIDAR DATA
SEMANTIC SEGMENTATION OF TERRESTRIAL LIDAR DATA USING CO-REGISTERED RGB DATA
ASSESSMENT FOR A CONDITION USING TERRESTRIAL LIDAR DATA
TUNNEL MODELING USING MOBILE MAPPING LIDAR POINTS
LANDSLIDE STUDY USING TERRESTRIAL LASER SCANNER (LiDAR) ANALYSIS
ROAD SURFACE MODELLING AND CHARACTERIZATION FROM TERRESTRIAL LIDAR DATA
Simulating cable corridors based on terrestrial LiDAR data
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar
Automatic tree detection and attribute characterization using portable terrestrial lidar
FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES
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AIRBORNE LIDAR POINTS CLASSIFICATION BASED ON TENSOR SPARSE REPRESENTATION
CSF BASED NON-GROUND POINTS EXTRACTION FROM LIDAR DATA