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地震 ›› 2009, Vol. 29 ›› Issue (3): 54-60.

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面向对象遥感分类方法在汶川地震震害提取中的应用

王岩, 王晓青, 窦爱霞   

  1. 中国地震局地震预测研究所, 北京 100036
  • 收稿日期:2008-10-17 修回日期:2009-01-30 出版日期:2009-07-31 发布日期:2021-10-18
  • 作者简介:王岩(1983-),女,辽宁本溪人,2006年在读研究生,主要从事遥感分类及遥感震害应用等研究。
  • 基金资助:
    “十一五”国家科技支撑计划项目(2006BAC01B02-0101); 中国地震局地震预测研究所2007年度基本科研业务专项(0207690230)

Building damage detection of the 2008 Wenchuan, China earthquake Based on Object-oriented Classification Method

WANG Yan, WANG Xiao-qing, DOU Ai-xia   

  1. Institute of Earthquake Science, CEA, Beijing 100036, China
  • Received:2008-10-17 Revised:2009-01-30 Online:2009-07-31 Published:2021-10-18

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摘要： 震后城市建筑物震害的自动识别与分类,是遥感震害调查中的关键步骤,其精度直接影响损失评估的结果。 而随着高分辨率遥感影像的发展,传统基于像元的分类技术已不能满足需求,引入面向对象的信息提取技术,充分挖掘影像对象的纹理、形状和相互关系等信息,能够有效的提高震害的分类精度。 该文阐述了面向对象的遥感震害提取思路和方法,并应用汶川地震震后高分辨率航空遥感数据,针对建筑物震害进行面向对象的快速提取与自动分类。 结果表明,与基于像元分类比较,面向对象的建筑物震害分类能够显著改善分类效果。

关键词: 面向对象分类, 震害识别, 高分辨率遥感影像, 汶川地震

Abstract: Automatic recognition and classification of building seismic disaster information is the key step of the seismic disaster evaluation. And its precision directly affects the result of loss evaluation. With the development of high-resolution remote sensing image, the traditional pixel-based classification is not able to meet the requirement. In order to fully excavate the texture, shape and relationship information of remote sensing data, we introduced an object-oriented method to improve the classification precision. Aiming at building seismic damage detection, object-oriented method was used in this paper to classify the post -earthquake aerial remote sensing images of the 2008 Wenchuan M8.0 earthquake. Compared to pixel-based classification, object-oriented method significantly improved the effect of damage detection.

Key words: Object-oriented classification, Damage detection, High-resolution remote sensing image, Wenchuan M8.0 earthquake

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