多层级几何—语义融合的图神经网络地表异常检测框架.

高智, 胡傲涵, 陈泊安, 路遥… - Journal of Remote …, 2024 - search.ebscohost.com
**年来突发性地表异常ESA (Earth Surface Anomalies) 事件频发且呈上升趋势, 给人类的生命,
财产安全带来了巨大威胁, 如何及时准确地发现地表异常事件对后续救援与灾害响应具有重要 …

Classification and detection of natural disasters using machine learning and deep learning techniques: A review

K Abraham, M Abdelwahab, M Abo-Zahhad - Earth Science Informatics, 2024 - Springer
For efficient disaster management, it is essential to identify and categorize natural disasters.
The classical approaches and current technological advancements for identifying …

A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies

SS Dar, MZU Rehman, K Bais, MA Haseeb… - Expert Systems with …, 2025 - Elsevier
In times of crisis, the prompt and precise classification of disaster-related information shared
on social media platforms is of paramount importance for effective disaster response and …

On transfer learning for building damage assessment from satellite imagery in emergency contexts

I Bouchard, MÈ Rancourt, D Aloise, F Kalaitzis - Remote Sensing, 2022 - mdpi.com
When a natural disaster occurs, humanitarian organizations need to be prompt, effective,
and efficient to support people whose security is threatened. Satellite imagery offers rich and …

A Machine learning approach for Post-Disaster data curation

SH Ro, Y Li, J Gong - Advanced Engineering Informatics, 2024 - Elsevier
Image data collected after natural disasters play an important role in the forensics of
structure failures. However, curating and managing large amounts of post-disaster imagery …

Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data

T Kalluri, J Lee, K Sohn, S Singla… - Proceedings of the …, 2024 - openaccess.thecvf.com
We present a simple and efficient method to leverage emerging text-to-image generative
models in creating large-scale synthetic supervision for the task of damage assessment from …

[HTML][HTML] Multimodal social sensing for the spatio-temporal evolution and assessment of nature disasters

C Yu, Z Wang - Sensors, 2024 - mdpi.com
Social sensing, using humans as sensors to collect disaster data, has emerged as a timely,
cost-effective, and reliable data source. However, research has focused on the textual data …

CrashCar101: Procedural Generation for Damage Assessment

J Parslov, E Riise… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
In this paper, we are interested in addressing the problem of damage assessment for
vehicles, such as cars. This task requires not only detecting the location and the extent of the …