杜妍开, 龚丽霞, 李强, 张景发. 2020: 基于最优分割的高分辨率遥感影像震害建筑物识别技术. 地震学报, 42(6): 760-768. DOI: 10.11939/jass.20200027
引用本文: 杜妍开, 龚丽霞, 李强, 张景发. 2020: 基于最优分割的高分辨率遥感影像震害建筑物识别技术. 地震学报, 42(6): 760-768. DOI: 10.11939/jass.20200027
Du Yankai, Gong Lixia, Li Qiang, Zhang Jingfa. 2020: Earthquake damage building identification technology based on high resolution remote sensing image with optimal segmentation. Acta Seismologica Sinica, 42(6): 760-768. DOI: 10.11939/jass.20200027
Citation: Du Yankai, Gong Lixia, Li Qiang, Zhang Jingfa. 2020: Earthquake damage building identification technology based on high resolution remote sensing image with optimal segmentation. Acta Seismologica Sinica, 42(6): 760-768. DOI: 10.11939/jass.20200027

基于最优分割的高分辨率遥感影像震害建筑物识别技术

Earthquake damage building identification technology based on high resolution remote sensing image with optimal segmentation

  • 摘要: 为了提高建筑物震害信息提取的效率与准确度,针对震后高分辨率遥感影像,根据震害建筑物在遥感影像上的特征,以2010年海地MS7.0地震为例,通过尺度参数估计算法自动选择最优分割尺度对影像进行多尺度分割,并采用面向对象方法对海地高分辨率遥感影像进行建筑物震害信息提取,同时与基于像元的支持向量机、反向传播神经网络、基于分类回归算法的决策树分类方法进行比较。试验结果表明,面向对象的分类方法具有更好的目视效果和更高的分类精度,有利于地震后震害信息的准确提取和快速评估。

     

    Abstract: In order to improve the efficiency and the accuracy of information extraction about earthquake damage building, based on high resolution remote sensing image after the earthquake, and according to the features of earthquake damage buildings in remote sensing images, we took a case study of MS7.0 Haiti earthquake in 2010, through the ESP algorithm automatically chose the optimal segmentation scale to multi-scale segmentation of images, used object-oriented method to Haiti high-resolution remote sensing image information extraction of earthquake damage buildings. At the same time, it is compared with Support Vector Machine based on pixel, BP neural network and Decision Tree classification method based on CART algorithm, the experimental results show that the object-oriented classification method has better visual effect and higher classification accuracy, which is beneficial to the accurate extraction and rapid evaluation of earthquake damage information after the earthquake.

     

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