在基于后勤回归建模的地震损坏建筑物的检测中,将多源遥感纳入
Qiang Li1, Jingfa Zhang1, Hongbo Jiang1
1National Institute of Natural Hazards, Ministry of Emergency, Beijing, No. 1 Anning Zhuang Road, Xisanqi, Haidian District, 100085, China.
Heliyon
|July 8, 2024
概括
本研究引入了一种使用多来源遥感数据的新方法,用于精确地评估地震引起的建筑损坏. 该方法实现了94.2%的检测精度,有助于灾后恢复工作.
科学领域:
- 遥感 遥感 遥感 遥感
- 地理空间分析是什么
- 灾害管理 灾害管理
背景情况:
- 准确的地震后建筑损坏评估对于有效的灾害应对和恢复至关重要.
- 现有的地球观测方法往往缺乏用于详细的损害评估和经济损失估计所需的细度精度.
研究的目的:
- 提出并验证一种用于提取地震造成建筑损坏信息的新方法.
- 通过整合多来源遥感数据,提高损害评估的准确性和量化.
主要方法:
- 从光学,合成光圈雷达 (SAR) 和数字表面模型 (DSM) 数据中提取特征.
- 粗略集合论的应用,用于特征参数的确定.
- 开发一个物流回归模型 (LRM) 来分类建筑损坏状态.
主要成果:
- 拟议的方法在温川地震后在旧北川县实现了94.2%的检测准确率.
- 接收机运行特征 (ROC) 曲线下的面积为0.827,表明模型性能良好.
- 这项研究表明,将不同类型的数据融合在一起,以检测损坏的效率是非常高的.
结论:
- 综合的多源遥感方法为地震引起的建筑损坏提取提供了高度准确和精确的方法.
- 这种技术支持改善地震后的管理,重建规划和经济损失估计.
- 该研究强调了结合各种遥感数据和多变量回归来评估灾害的潜力.
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