Semantic segmentation and photogrammetry of crowdsourced images to monitor historic facades

Semantic segmentation and photogrammetry of crowdsourced images to monitor historic facades

Abstract Crowdsourced images hold information could potentially be used to remotely monitor heritage sites, and reduce human and capital resources devoted to on-site inspections. This article proposes a combination of semantic image segmentation and photogrammetry to monitor changes in built heritag...

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Bibliographic Details
Main Authors: Ziwen Liu, Rosie Brigham, Emily Rosemary Long, Lyn Wilson, Adam Frost, Scott Allan Orr, Josep Grau-Bové
Format: Article
Language:English
Published: SpringerOpen 2022-02-01
Series:Heritage Science
Subjects:
Cultural heritage
Crowdsourced image processing
Deep learning
Structure from Motion
Remote sensing
Dilated convolution
Online Access:https://doi.org/10.1186/s40494-022-00664-y

Internet

https://doi.org/10.1186/s40494-022-00664-y

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