QUANTIFYING UNCERTAINTY IN CLASSIFIED POINT CLOUD DATA FOR GEOSPATIAL APPLICATIONS

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: QUANTIFYING UNCERTAINTY IN CLASSIFIED POINT CLOUD DATA FOR GEOSPATIAL APPLICATIONS ; volume:XLIV-M-2-2020 ; year:2020 ; pages:87-93
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIV-M-2-2020 (2020), 87-93

Creator: Sen, S.
Turel, N.

DOI: 10.5194/isprs-archives-XLIV-M-2-2020-87-2020

URN: urn:nbn:de:101:1-2020111904185655799147

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:22 AM CEST

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Sen, S.
Turel, N.

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QUANTIFYING UNCERTAINTY IN CLASSIFIED POINT CLOUD DATA FOR GEOSPATIAL APPLICATIONS

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