Intelligent detection of deterioration in cultural stone heritage

ME Hatır, İ İnce, M Korkanç - Journal of Building Engineering, 2021 - Elsevier
Vision-based periodic examination of the deterioration of stone monuments over time is
labour and time intensive. Especially, in cases involving large-scale immovable cultural …

The deep learning method applied to the detection and mapping of stone deterioration in open-air sanctuaries of the Hittite period in Anatolia

E Hatır, M Korkanç, A Schachner, I Ince - Journal of Cultural Heritage, 2021 - Elsevier
The detection of deterioration in archeological heritage sites is a very time-consuming task
that requires expertise. Furthermore, vision-based approaches can cause errors …

Decay detection in historic buildings through image-based deep learning

S Bruno, RA Galantucci, A Musicco - … -International Journal of …, 2023 - polipapers.upv.es
Nowadays, built heritage condition assessment is realized through on-site or photo-aided
visual inspections, reporting pathologies manually on drawings, photographs, notes. The …

Lithology mapping of stone heritage via state-of-the-art computer vision

ME Hatir, I Ince - Journal of Building Engineering, 2021 - Elsevier
In building stones that are widely used in the construction of immovable cultural heritage,
preservation efforts are necessary due to various weathering processes. The accuracy and …

Artificial intelligence-based automatic visual inspection system for built heritage

LE Mansuri, DA Patel - Smart and Sustainable Built Environment, 2022 - emerald.com
Purpose Heritage is the latent part of a sustainable built environment. Conservation and
preservation of heritage is one of the United Nations'(UN) sustainable development goals …

[PDF][PDF] Automatic damage detection of stone cultural property based on deep learning algorithm

D Kwon, J Yu - The International Archives of the …, 2019 - … -remote-sens-spatial-inf-sci.net
Outdoor stone cultural properties are continuously affected by the external environment such
as wind, rain, and earthquakes. These cause damage to the cultural properties by not only …

CNN-based statistics and location estimation of missing components in routine inspection of historic buildings

Z Zou, X Zhao, P Zhao, F Qi, N Wang - Journal of Cultural Heritage, 2019 - Elsevier
Ancient buildings have a high cultural and historical value. In the process of their protection
and maintenance, it is crucial to conduct regular routine inspections on them. During the …

Prediction and measurement of damage to architectural heritages facades using convolutional neural networks

M Samhouri, L Al-Arabiat, F Al-Atrash - Neural Computing and …, 2022 - Springer
This paper set out an automatic multicategory damage detection technique using
convolutional neural networks (CNN) models based on image classification and features' …

Surface damage identification for heritage site protection: A mobile crowd-sensing solution based on deep learning

S Meklati, K Boussora, MEH Abdi… - ACM Journal on …, 2023 - dl.acm.org
This article addresses the general problem of built heritage protection against both
deterioration and loss. To continuously monitor and update the structural health status, a …

[PDF][PDF] Damage detection and localization in masonry structure using faster region convolutional networks

K Chaiyasarn, W Khan - GEOMATE Journal, 2019 - geomatejournal.com
With current modern technology, manual on-site inspection can be assisted by automatic
inspection, which is cost-effective, efficient and not subjective. In previous work, various …