High-precision photogrammetric 3d modeling technology based on multi-source data fusion and deep learning-enhanced feature learning using internet of things big data

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Title:	High-precision photogrammetric 3d modeling technology based on multi-source data fusion and deep learning-enhanced feature learning using internet of things big data
Authors:	ID Zhang, Guangtao (Author) ID Zhang, Jun (Author)
Files:	This document has no files. This document may have a physical copy in the library of the organization, check the status via COBISS.
Language:	English
Organization:	SDI - Slovenian Society Informatika
Publication date:	01.01.2025
Year of publishing:	2025
Number of pages:	str. 1-16
Numbering:	Vol. 49, no. 11
PID:	20.500.12556/DiRROS-27102
UDC:	004.85:004.93
ISSN on article:	1854-3871
DOI:	10.31449/inf.v49i11.7137
COBISS.SI-ID:	239622915
Note:	Nasl. z nasl. zaslona; Opis vira z dne 17. junij 2025;
Publication date in DiRROS:	28.01.2026
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Title:	Informatica : an international journal of computing and informatics
Publisher:	Informatika
ISSN:	1854-3871
COBISS.SI-ID:	223739648

Language:	Slovenian
Keywords:	umetna inteligenca, visokoločljivostno fotogrametrično 3D modeliranje, internet stvari, globoko učenje, veliki podatki, visokoločljiva fotografija

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