相关实验视频

Updated: Jan 16, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

整合事件后的非常高分辨率SAR图像和机器学习,用于建筑层次的地震损害评估

Valentina Macchiarulo¹, Giorgia Giardina¹, Pietro Milillo^2,3

¹Department of Geoscience and Engineering, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands.

Bulletin of earthquake engineering

|September 26, 2025

概括

这项研究引入了一种新的机器学习方法,使用事件后的卫星雷达数据进行建筑级地震损害评估. 它准确地识别了塌的结构,改善了城市地区的灾害响应.

科学领域:

地球和环境科学地球和环境科学
遥感遥感遥感遥感
人工智能的人工智能

背景情况:

地震对城市地区构成重大威胁,需要快速评估损害,以有效应对灾害.
传统的损害评估方法往往是缓慢的,昂贵的,范围有限的,阻碍了及时的决策.
太空载综合孔径雷达 (SAR) 提供全天候,昼夜成像,覆盖范围广泛,非常适合灾害监测,但事件前的数据往往无法获得.

研究的目的:

开发和验证一种用于区域范围,建筑层次地震后损害评估的新方法,仅使用事件后的非常高分辨率 (VHR) SAR图像和机器学习 (ML).
通过结合多个案例研究的数据来评估ML模型的通用性.
评估方法在陌生的地理环境中的灵活性.

主要方法:

整合仅仅是事件后的VHR SAR图像与机器学习算法.
在特定案例数据集上应用监督学习,然后使用多个案例研究的库存进行联合学习方法.
在未见的研究领域测试ML模型,以评估其性能和适应性.

主要成果:

开发的ML方法在未见区域的建筑物中实现了高达72%的整体准确性,用于对立和倒塌的建筑物进行分类.
证明了在单个建筑层面评估损害的能力,超过了以前的城市街区层面的方法.
利用2021年尼普斯和2023年卡拉曼马拉斯地震序列的数据验证了该方法的有效性.

结论:

拟议的方法提供了一个可行的解决方案,用于快速,区域范围的地震后损害评估,仅使用事件后的VHR SAR数据.
该方法提高了利用VHR SAR数据在灾害管理方面的潜力.
这有助于更有效的地震应对策略和资源分配.

关键词:

灾害管理灾害管理技术 ML 技术 ML 技术地震后的侦察活动遥感是一种远程传感.合成光圈雷达是什么意思质感分析质感分析

更多相关视频

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

相关概念视频

Applications of GIS: Disaster Management and Emergency Response

Applications of GIS: Disaster Management and Emergency Response

Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...

Elastic Collisions: Case Study

Elastic Collisions: Case Study

Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...