地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (5): 699-707.doi: 10.3724/SP.J.1047.2016.00699

• 遥感大数据协同计算综合应用 • 上一篇    下一篇

基于高分辨率遥感目标特征库的地震灾情快速评估方法

董文1(), 沈占锋1, 程希萌2   

  1. 1. 中国科学院遥感与数字地球研究所 遥感科学国家重点实验室,北京 100101
    2. 中国地质大学(北京)信息工程学院,北京 100083
  • 收稿日期:2015-12-15 修回日期:2016-02-16 出版日期:2016-05-10 发布日期:2016-05-10
  • 作者简介:

    作者简介:董 文(1983-),女,博士,助理研究员,主要从事地理时空大数据分析及应用研究。E-mail:dongwen01@radi.ac.cn

  • 基金资助:
    国家高分辨率对地观测系统重大专项(03-Y30B06-9001-13/15-01);中国科学院重点部署项目(KZZD-EW-07-02);国家自然科学基金项目(41371347、41501453)

The Rapid Assessment Method of Earthquake Disaster Based on High-Resolution Remote Sensing Target Feature Library

DONG Wen1,*(), SHEN Zhanfeng1, CHENG Ximeng2   

  1. 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100101, China
    2. School of Information Engineering, China University of Geosciences, Beijing 100083, China
  • Received:2015-12-15 Revised:2016-02-16 Online:2016-05-10 Published:2016-05-10
  • Contact: DONG Wen E-mail:dongwen01@radi.ac.cn

摘要:

高分辨率遥感影像已逐步成为地震灾害快速评估的主要数据源之一,但现有的遥感地震灾害信息提取方法存在对研究人员目视解译经验依赖性强和利用高分辨率影像提取结果精度不高的问题。因此,本文提出了一种基于目标特征库的高分辨率遥感灾害信息快速提取方法,用于提升遥感影像灾害信息提取的效率和自动化程度,并对基于目标特征库进行地震灾情快速评估的几项关键技术(目标特征库构建、样本匹配方法和自动分类方法)进行了阐述,最后,以云南鲁甸地震龙头山镇地区为研究区,基于高分辨率遥感影像在目标特征库支持下开展了地震灾情快速评估实验。通过与灾后调查数据的对比分析发现,基于高分辨率遥感灾害目标特征库的地震灾情快速评估结果在精度上可以满足灾情快速评估的业务需要,同时还具有更好的时效性。

关键词: 地震灾害评估, 目标特征库, 自动分类, 减灾应用, 高分辨率遥感

Abstract:

High-resolution remote sensing image has become a major source of information for the rapid assessment of earthquake disaster, and it also brings new challenges to the study and application of seismic disaster information extraction methods that are based on the remote sensing. The existing methods of seismic disaster information extraction that are based on the remote sensing technology have some defects, such as the high dependence on the visual interpretation experience of researchers and the low accuracy of extraction results produced from the high-resolution images. This paper provides a rapid extraction method of the high-resolution remote sensing seismic disaster information with the integration of target feature library. Via building the high-resolution remote sensing disaster target feature library, this method is capable to provide services for the accumulation and application of disaster features based on the high-resolution images, thus to meet the purpose of reducing the dependence on the experience of researchers and improving the automation level and efficiency of disaster information extraction from remote sensing images. Regarding to the method framework description, this paper introduces several key technologies in the progress of earthquake disaster rapid assessment, which includes building the target feature library and conducting the method of sample matching and automatic classification. This paper takes the earthquake prone region of Ludian, Yunnan as an example. The study area is in the central area of Longtoushan town, and the earthquake disaster rapid assessment experiment is supported by the high-resolution remote sensing target feature library. Comparing our experimental results with the field survey results, it shows that the accuracy of the experimental results can meet the service requirements of the rapid assessment. It also shows that the rapid extraction of seismic disaster based on high-resolution remote sensing disaster target feature library can effectively reduce the labor workload and strongly improve the automation level of services. Generally, this method has a positive significance to the disaster emergency response.

Key words: earthquake disaster assessment, target feature library, automatic classification, disaster mitigation application, high-resolution remote sensing