3D change detection–approaches and applications
Due to the unprecedented technology development of sensors, platforms and algorithms for
3D data acquisition and generation, 3D spaceborne, airborne and close-range data, in the …
3D data acquisition and generation, 3D spaceborne, airborne and close-range data, in the …
The acceptance of using information technology for disaster risk management: A systematic review
The numbers of natural disaster events are continuously affecting human and the world
economics. For coping with disaster, several sectors try to develop the frameworks, systems …
economics. For coping with disaster, several sectors try to develop the frameworks, systems …
Detection of collapsed buildings in post-earthquake remote sensing images based on the improved YOLOv3
H Ma, Y Liu, Y Ren, J Yu - Remote Sensing, 2019 - mdpi.com
An important and effective method for the preliminary mitigation and relief of an earthquake
is the rapid estimation of building damage via high spatial resolution remote sensing …
is the rapid estimation of building damage via high spatial resolution remote sensing …
Building damage detection using U-Net with attention mechanism from pre-and post-disaster remote sensing datasets
The building damage status is vital to plan rescue and reconstruction after a disaster and is
also hard to detect and judge its level. Most existing studies focus on binary classification …
also hard to detect and judge its level. Most existing studies focus on binary classification …
Prototyping and validation of MEMS accelerometers for structural health monitoring—The case study of the Pietratagliata cable-stayed bridge
In recent years, thanks to the simple and yet efficient design, Micro Electro-Mechanical
Systems (MEMS) accelerometers have proven to offer a suitable solution for Structural …
Systems (MEMS) accelerometers have proven to offer a suitable solution for Structural …
Multi-hazard and spatial transferability of a cnn for automated building damage assessment
T Valentijn, J Margutti, M van den Homberg… - Remote Sensing, 2020 - mdpi.com
Automated classification of building damage in remote sensing images enables the rapid
and spatially extensive assessment of the impact of natural hazards, thus speeding up …
and spatially extensive assessment of the impact of natural hazards, thus speeding up …
Invited perspectives: How machine learning will change flood risk and impact assessment
D Wagenaar, A Curran, M Balbi… - … hazards and earth …, 2020 - nhess.copernicus.org
Increasing amounts of data, together with more computing power and better machine
learning algorithms to analyse the data, are causing changes in almost every aspect of our …
learning algorithms to analyse the data, are causing changes in almost every aspect of our …
Identifying collapsed buildings using post-earthquake satellite imagery and convolutional neural networks: A case study of the 2010 Haiti earthquake
M Ji, L Liu, M Buchroithner - Remote Sensing, 2018 - mdpi.com
Earthquake is one of the most devastating natural disasters that threaten human life. It is vital
to retrieve the building damage status for planning rescue and reconstruction after an …
to retrieve the building damage status for planning rescue and reconstruction after an …
Fusion of satellite, aircraft, and UAV data for automatic disaster damage assessment
Post-disaster damage assessment is urgent for rapid save and rescue missions. Satellite
and airborne imagery platforms take vertical images, in which only buildings' roofs are …
and airborne imagery platforms take vertical images, in which only buildings' roofs are …
Building-damage detection method based on machine learning utilizing aerial photographs of the Kumamoto earthquake
S Naito, H Tomozawa, Y Mori, T Nagata… - Earthquake …, 2020 - journals.sagepub.com
This article presents a method for detecting damaged buildings in the event of an
earthquake using machine learning models and aerial photographs. We initially created …
earthquake using machine learning models and aerial photographs. We initially created …