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CONDITION ASSESSMENT OF RC BRIDGES. INTEGRATING MACHINE LEARNING, PHOTOGRAMMETRY AND BIM

CONDITION ASSESSMENT OF RC BRIDGES. INTEGRATING MACHINE LEARNING, PHOTOGRAMMETRY AND BIM

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_09f7e506e27d442b9b4443cea786c5bd

CONDITION ASSESSMENT OF RC BRIDGES. INTEGRATING MACHINE LEARNING, PHOTOGRAMMETRY AND BIM

About this item

Full title

CONDITION ASSESSMENT OF RC BRIDGES. INTEGRATING MACHINE LEARNING, PHOTOGRAMMETRY AND BIM

Author / Creator

Publisher

Gottingen: Copernicus GmbH

Journal title

International archives of the photogrammetry, remote sensing and spatial information sciences., 2019, Vol.XLII-2/W15, p.201-208

Language

English

Publication information

Publisher

Gottingen: Copernicus GmbH

More information

Scope and Contents

Contents

The survey of building pathologies is focused on reading the state of conservation of the building, composed by the survey of constructive and decorative details, the masonry layering, the crack pattern, the degradation and the color recognition. The drawing of these representations is a time-consuming task, accomplished by manual work by skilled o...

Alternative Titles

Full title

CONDITION ASSESSMENT OF RC BRIDGES. INTEGRATING MACHINE LEARNING, PHOTOGRAMMETRY AND BIM

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_09f7e506e27d442b9b4443cea786c5bd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_09f7e506e27d442b9b4443cea786c5bd

Other Identifiers

ISSN

2194-9034,1682-1750

E-ISSN

2194-9034

DOI

10.5194/isprs-archives-XLII-2-W15-201-2019

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