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高分二号影像数据地物信息提取分割尺度研究 预览

Research on Segmentation Scale of Information Extraction Based on GF-2 Image
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摘要 面向对象技术是提取高分辨率影像中地物信息的主流方法,而多尺度分割是面向对象技术的基础与关键,分割尺度的选择将直接影响最终信息提取的精度与质量。借助于eCognition平台,选用高分二号影像数据作为研究对象,采用多尺度分割的面向对象分类方法,充分利用遥感影像几何、纹理、光谱等信息,确定不同地物类别的最优化分割尺度,建立最佳分类规则,较好的提取了目标地物,更在一定程度上提高了分类精度,为震后灾害评估、震中道路快速提取提供技术支持。 Object-oriented technology is the main method of information extraction based on high resolution image.Image segmentation is the basis of Object-oriented technology and key,its segmentation quality is good or bad,will directly affect the accuracy of information extraction.With eCognition software,this paper uses object-oriented classification technology by multi-scale segmenting to extract information based of GF-2 data.Combining the geometry,texture,spectral characterization and so on,determining the optimal segmentation scale of different ground objects,building classification rule to extract the target objects better,and to improve the classification accuracy to a certain extent.Provide technical support for post-earthquake disaster assessment and rapid extraction of epicenter roads.
作者 张艺 丁晓光 李苗 ZHANG Yi;DING Xiao-guang;LI Miao(Shanxi Earthquake Agency,Shanxi Xi'an 710068,China)
机构地区 陕西省地震局
出处 《防灾减灾学报》 2019年第1期1-6,共6页 Journal of Disaster Prevention And Reduction
基金 陕西省地震局启航与创新基金(QC201712).
关键词 高分二号 地物提取 多尺度分割 面向对象 GF-2 information extraction multi-scale segmentation object-oriented
作者简介 张艺(1985-),女,陕西省西安市人,2011年毕业于陕西师范大学,硕士研究生,工程师,现主要从事城市活动断层探测数据库建设工作。E-mail:zhangyiva@163.com.
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