- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Detecting dynamics of cave floor ice with selective cloud-to-cloud approach ; volume:13 ; number:11 ; year:2019 ; pages:2835-2851
The Cryosphere ; 13, Heft 11 (2019), 2835-2851
- Creator
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Šupinský, Jozef
Kaňuk, Ján
Hochmuth, Zdenko
Gallay, Michal
- DOI
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10.5194/tc-13-2835-2019
- URN
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urn:nbn:de:101:1-2019111404255480513198
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:27 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
- Šupinský, Jozef
- Kaňuk, Ján
- Hochmuth, Zdenko
- Gallay, Michal
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Selective end-to-end data-sharing in the cloud
Detecting of Cave Floor Ice Dynamics based on Selective Cloud-to-Cloud Approach
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CURB-BASED STREET FLOOR EXTRACTION FROM MOBILE TERRESTRIAL LIDAR POINT CLOUD
Detecting cloud contamination in passive microwave satellite measurements over land
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BUILDING FLOOR PLAN RECONSTRUCTION FROM SLAM-BASED POINT CLOUD USING RANSAC ALGORITHM
Selective end-to-end data-sharing in the cloud
Detecting of Cave Floor Ice Dynamics based on Selective Cloud-to-Cloud Approach
Cloud Networks as Platform-based Ecosystems : Detecting Management Implications for Actors in Cloud Networks
TOWARDS OBJECT DRIVEN FLOOR PLAN EXTRACTION FROM LASER POINT CLOUD
Detecting Changes and Finding Collisions in 3D Point Clouds
CURB-BASED STREET FLOOR EXTRACTION FROM MOBILE TERRESTRIAL LIDAR POINT CLOUD
Detecting cloud contamination in passive microwave satellite measurements over land
CLOUD
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BUILDING FLOOR PLAN RECONSTRUCTION FROM SLAM-BASED POINT CLOUD USING RANSAC ALGORITHM