Msnet: A multilevel instance segmentation network for natural disaster damage assessment in aerial videos

X Zhu, J Liang, A Hauptmann - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
In this paper, we study the problem of efficiently assessing building damage after natural
disasters like hurricanes, floods or fires, through aerial video analysis. We make two main …

Study of the preparation phase of Turkey's powerful earthquake (6 February 2023) by a geophysical multi-parametric fuzzy inference system

M Akhoondzadeh, D Marchetti - Remote Sensing, 2023 - mdpi.com
On 6 February 2023, a powerful earthquake at the border between Turkey and Syria caused
catastrophic consequences and was, unfortunately, one of the deadliest earthquakes of the …

Multi-polarization C-band SAR imagery to quantify damage levels due to the Central Italy earthquake

E Ferrentino, F Nunziata, C Bignami… - … Journal of Remote …, 2021 - Taylor & Francis
This study analyzes the ability of polarimetric Synthetic Aperture Radar (PolSAR)
measurements to quantify post-earthquake damages. To achieve this goal, a twofold task is …

A review on multi-temporal earthquake assessment damage using satellite images

G Taskin, E Erten, EO Alatas - … and Image Time Series Analysis 2 …, 2021 - books.google.com
Earthquakes are one of the most devastating natural disasters, causing serious and severe
damage to human life and property. Hence, developing a fast, reliable and automated …

Remote sensing vs. field survey data in a post-earthquake context: Potentialities and limits of damaged building assessment datasets

D Monfort, C Negulescu, M Belvaux - Remote Sensing Applications …, 2019 - Elsevier
Quick building damage assessment following disasters such as large earthquakes serves to
establish a preliminary estimation of losses and casualties. These datasets are completed …

Monitoring and Analysis of Surface Deformation in Songyuan City, Jilin Province Based on Time Series InSAR

Q Ding, F Wang, X Huang, M Wang, Q Wang - Journal of the Indian Society …, 2023 - Springer
Frequent occurrence of earthquakes and the massive exploitation of underground resources
make Songyuan City an area prone to surface deformation. Surface deformation causes …

On the combination of dual-polarization Sentinel-1 ascending/descending orbiting passes to estimate damage due to the 2016 Central Italy earthquake

E Ferrentino, F Nunziata, C Bignami… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
This study investigates the extra benefit provided by the joint use of synthetic aperture radar
(SAR) polarimetric diversity and ascending/descending orbit passes to quantify …

Earthquake-induced building damage assessment on SAR multi-texture feature fusion

Y Du, L Gong, Q Li, F Wu - IGARSS 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Multi-temporal RS data is not often available in time after an earthquake, so it is useful to
assess the building situation with a single post-event SAR. Aiming at the problem that the …

Big data for space situation awareness

E Blasch, M Pugh, C Sheaff… - Sensors and Systems …, 2017 - spiedigitallibrary.org
Recent advances in big data (BD) have focused research on the volume, velocity, veracity,
and variety of data. These developments enable new opportunities in information …

Combining TerraSAR-X and Landsat images for emergency response in urban environments

S Havivi, I Schvartzman, S Maman, SR Rotman… - Remote Sensing, 2018 - mdpi.com
Rapid damage mapping following a disaster event, especially in an urban environment, is
critical to ensure that the emergency response in the affected area is rapid and efficient. This …