Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made …
Sudden-onset natural and man-made disasters represent a threat to the safety of human life
and property. Rapid and accurate building damage assessment using bitemporal high …
and property. Rapid and accurate building damage assessment using bitemporal high …
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
近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 …
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 …
A golden decade of deep learning: Computing systems & applications
J Dean - Daedalus, 2022 - direct.mit.edu
The past decade has seen tremendous progress in the field of artificial intelligence thanks to
the resurgence of neural networks through deep learning. This has helped improve the …
the resurgence of neural networks through deep learning. This has helped improve the …
War related building damage assessment in Kyiv, Ukraine, using Sentinel-1 radar and Sentinel-2 optical images
Natural and anthropogenic disasters can cause significant damage to urban infrastructure,
landscape, and loss of human life. Satellite based remote sensing plays a key role in rapid …
landscape, and loss of human life. Satellite based remote sensing plays a key role in rapid …
Earthquake building damage detection based on synthetic-aperture-radar imagery and machine learning
This article presents a framework for semi-automated building damage assessment due to
earthquakes from remote-sensing data and other supplementary datasets, while also …
earthquakes from remote-sensing data and other supplementary datasets, while also …
On transfer learning for building damage assessment from satellite imagery in emergency contexts
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 …
and efficient to support people whose security is threatened. Satellite imagery offers rich and …
Sam-vqa: Supervised attention-based visual question answering model for post-disaster damage assessment on remote sensing imagery
Each natural disaster leaves a trail of destruction and damage that must be effectively
managed to reduce its negative impact on human life. Any delay in making proper decisions …
managed to reduce its negative impact on human life. Any delay in making proper decisions …
Post disaster damage assessment using ultra-high-resolution aerial imagery with semi-supervised transformers
Preliminary damage assessments (PDA) conducted in the aftermath of a disaster are a key
first step in ensuring a resilient recovery. Conventional door-to-door inspection practices are …
first step in ensuring a resilient recovery. Conventional door-to-door inspection practices are …
The Role of Machine Learning in Earthquake Seismology: A Review
A Chitkeshwar - Archives of Computational Methods in Engineering, 2024 - Springer
This comprehensive survey addresses the notable yet relatively uncharted territory of
machine learning (ML) applications within the realm of earthquake engineering. While …
machine learning (ML) applications within the realm of earthquake engineering. While …
Knowledge distillation based lightweight building damage assessment using satellite imagery of natural disasters
Accurate and timely assessment of post-disaster building damage is of great significance for
national development and social security concerns. However, due to the high timeliness …
national development and social security concerns. However, due to the high timeliness …