Automatic damage detection of historic masonry buildings based on mobile deep learning-Reference-Cited by-同舟云学术

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Automatic damage detection of historic masonry buildings based on mobile deep learning

Published:2019-07 Issue: Volume:103 Page:53-66
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Wang Niannian,Zhao Xuefeng,Zhao Peng,Zhang Yang,Zou Zheng,Ou Jinping

Funder

Palace Museum

National Key Research and Development Program of China

National Key Research and Development Program

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference58 articles.

1. Condition assessment by visual inspection for a bridge management system;Gattulli;Computer-Aided Civil and Infrastructure Engineering,2005

2. Expected render performance assessment based on impact resistance in situ determination;Flores-Colen;Constr. Build. Mater.,2009

3. Texture analysis based damage detection of ageing infrastructural elements;O'Byrne;Computer-Aided Civil and Infrastructure Engineering,2013

4. In-situ techniques for mechanical performance and degradation analysis of rendering walls;Santos;Restoration of Buildings and Monuments,2013

5. Surface damage evaluation of honeycomb sandwich aircraft panels using 3D scanning technology;Reyno;NDT & E International,2018

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