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MACHINE LEARNING CLUSTERING FOR POINT CLOUDS OPTIMISATION VIA FEATURE ANALYSIS IN CULTURAL HERITAGE

The paper presents an innovative approach that can assist survey methods by applying AI algorithms to improve the accuracy of point clouds generated from UAV images. Firstly, the work individually analyses several photogrammetric accuracy parameters, including reprojection error, angle of intersecti...

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Detalles Bibliográficos
Principais autores: L. M. Gujski, A. di Filippo, M. Limongiello
Formato: Artigo
Idioma:Inglês
Publicado: Copernicus Publications 2022-02-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Acceso en liña:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-2-W1-2022/245/2022/isprs-archives-XLVI-2-W1-2022-245-2022.pdf
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