摘要
2023-12-18凌晨,甘肃省积石山县发生Ms 6.2地震,造成17万间房屋严重损坏及倒塌。对震后建筑物损毁进行高精度检测,有助于快速了解建筑物损毁分布,为灾后应急救援提供重要支撑。合成孔径雷达(synthetic aperture radar,SAR)具备全天时、全天候对灾区进行观测的能力,且能够提供相位、强度与极化信息,如何充分利用SAR数据信息是精确提取损毁建筑物的关键。充分利用双极化ALOS-2/PALSAR-2影像强度与相位信息,联合双极化强度变化检测、相干性检测和合成孔径雷达干涉测量技术,对积石山地震进行建筑物损毁检测和同震形变场提取,并利用北京三号高分光学影像对建筑物损毁检测结果进行验证。实验结果表明:(1)双极化信息能够显著提升变化检测及同震形变场的监测精度;(2)经震前、震后高分辨率光学影像验证,证明联合强度变化检测和相干性检测技术均能够提取震区损毁建筑物,两者相互补充、互为印证;(3)同震形变场最大区域刘集乡、石塬镇,形变场周边地区大河家镇、官亭镇、吹麻滩镇均存在大量建筑损毁。
Objectives:On December 18,2023,an Ms 6.2 earthquake occurred in Jishishan,Gansu Province,China,damaging 170000 houses and severely affecting people's lives and property safety.Efficient and accurate detection can help to understand the distribution of building damage and provide crucial support for post-disaster emergency relief.Methods:This paper combines intensity change detection,coherence detection,and interferometric synthetic aperture radar technology using intensity and phase information from multi-temporal dual-polarized ALOS-2/PALSAR-2 images to identify building damage regions and coseismic deformation fields.First,a likelihood ratio change detection method is used to detect change regions from multi-temporal dual-polarization intensity images.Moreover,optimal coherence interferometric phase is extracted using different polarization mode combinations to obtain a more accurate coseismic deformation field.In addition,coherence change detection is introduced to detect different degrees of surface change distribution using pre-and post-earthquake interferometric coherence based on dual-polarization information.Finally,we combine intensity and coherence change detection results with world settlement footprint 2019 to map building damage regions.Results:The Beijing‑3 optical images with a 0.3 m resolution are used to verify the effective of proposed method in building damage mapping.And the experimental results show that:(1)Intensity change detection results based on dual-polarization information are significantly better than single polarization,and the coherence estimation results based on dual-polarization information are also superior to single polarization interferometric pairs.Besides,coseismic deformation field using dual-polarization information avoids more phase unwrapping errors,and the deformation magnitude is similar to the Sentinel-1 results.(2)In the seven earthquake-affected towns,using the intensity change detection with dual-polarization information can detect the building damage area about 0.4489 km2 and using coherence change detection can detect the building damage area about 1.0047 km2.(3)Both temporal intensity and coherence change detection methods can extract building damage.In most case,damage regions with coherence-based change detection generally larger than intensity-based.Conclusions:(1)Dual-polarization information can significantly improve the accuracy of change detection and the coseismic deformation field.(2)Both intensity-based and coherence-based change detection using dual-polarization information can detect damaged buildings in the disaster area.(3)Compared to intensity-based change detection,coherence-based detection is more sensitive and detects a larger damage regions.(4)Intensity-based and coherence-based techniques can complement and corroborate each other,and effectively extract damaged buildings in the earthquake area.
作者
赵金奇
陈樟杰
牛玉芬
张双成
闫鹏飞
王霞迎
ZHAO Jinqi;CHEN Zhangjie;NIU Yufen;ZHANG Shuangcheng;YAN Pengfei;WANG Xiaying(School of Environment and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China;School of Mining and Geomatics Engineering,Hebei University of Engineering,Handan 056038,China;College of Geological Engineering and Geomatics,Chang'an University,Xi'an 710054,China;Beijing Smart Earth Digital Co.Ltd,Beijing 112009,China;School of Surveying and Geoinformation Engineering,East China University of Technology,Nanchang 330013,China)
出处
《武汉大学学报(信息科学版)》
北大核心
2025年第2期284-296,共13页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金(42307255,41901286)
河北省自然科学基金(D2023402033)
河北省教育厅科学研究项目(QN2024231)
江苏省“双创博士”(JSSCBS20221531)
江苏省科技副总项目(FZ20240048)。
关键词
积石山地震
双极化SAR影像
强度变化检测
相干性检测
建筑物损毁
Jishishan earthquake
dual-polarization SAR image
intensity change detection
coherence change detection
building damages
