Building damage annotation on post-hurricane satellite imagery based on convolutional neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Natural Hazards"
DOI: 10.1007/s11069-020-04133-2
Abstract: After a hurricane, damage assessment is critical to emergency managers for efficient response and resource allocation. One way to gauge the damage extent is to quantify the number of flooded/damaged buildings, which is traditionally done… read more here.
Keywords: post hurricane; building damage; hurricane satellite; damage ... See more keywords
Effect of Sensor Error on the Assessment of Seismic Building Damage
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2019.2896371
Abstract: Natural disasters affect structural health of buildings, thus directly impacting public safety. Continuous structural monitoring can be achieved by deploying an Internet of things network of distributed sensors in buildings to capture floor movement. These… read more here.
Keywords: building damage; error; building; sensor error ... See more keywords
Classification of Building Damage Triggered by Earthquakes Using Decision Tree
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DOI: 10.1155/2020/2930515
Abstract: Field survey is a labour-intensive way to objectively evaluate the grade of building damage triggered by earthquakes. In this paper, we present a decision-tree-based approach to classify the type of building damage by using multiple-source… read more here.
Keywords: building; building damage; damage triggered; decision tree ... See more keywords
Evaluation of Risk of Building Damage due to Deep Excavations via Numerical Modelling
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DOI: 10.1155/2021/6646094
Abstract: In the densely populated urban environment, ground movements induced by deep excavations inevitably present a risk of damage to adjacent buildings and structures. An important and necessary aspect to justify the engineering design is to… read more here.
Keywords: risk; building damage; deep excavations; numerical modelling ... See more keywords
Classifying earthquake damage to buildings using machine learning
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DOI: 10.1177/8755293019878137
Abstract: The ability to rapidly assess the spatial distribution and severity of building damage is essential to post-event emergency response and recovery. Visually identifying and classifying individual building damage requires significant time and personnel resources and… read more here.
Keywords: machine learning; using machine; building damage; damage ... See more keywords
Earthquake-induced building damage recognition from unmanned aerial vehicle remote sensing using scale-invariant feature transform characteristics and support vector machine classification
Sign Up to like & getrecommendations! Published in 2023 at "Earthquake Spectra"
DOI: 10.1177/87552930231157549
Abstract: Building damage is the main cause of casualties and economic losses from earthquakes. Therefore, understanding building damage is critical for emergency handling. Current information acquisition methods for assessing earthquake damage using unmanned aerial vehicle (UAV)… read more here.
Keywords: recognition; building damage; remote sensing; damage ... See more keywords
Identifying Risk Indicators of Building Damage Due to Typhoons: Focusing on Cases of South Korea
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DOI: 10.3390/su10113947
Abstract: This study identifies the risk indicators of building damage from typhoons and determines the correlations among this damage, typhoon information, geographic vulnerability, construction environment, and socioeconomic vulnerability. This fundamental research aids the development of a… read more here.
Keywords: typhoon; building damage; indicators building; south korea ... See more keywords