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面向对象的高分辨率影像城市建筑物提取
引用本文:乔程,骆剑承,吴泉源,沈占锋,王宏.面向对象的高分辨率影像城市建筑物提取[J].地理与地理信息科学,2008,24(5).
作者姓名:乔程  骆剑承  吴泉源  沈占锋  王宏
作者单位:1. 中国科学院遥感应用研究所,北京,100101
2. 山东师范大学人口·资源与环境学院,山东,济南,250014
基金项目:国家高技术研究发展计划(863计划)
摘    要:依据高分辨率遥感影像的特点,采用面向对象方法提出"自下而上"的多尺度分割方法,即按照由小尺度分割至大尺度分割的顺序,并结合掩膜操作对山东师范大学IKONOS影像进行了建筑物提取试验。结果表明,该方法较传统的"自上而下"的尺度分割方法精度有显著改善,其分类结果形状较为规整,更接近实际地物。

关 键 词:高分辨率遥感  面向对象  城市建筑物  多尺度分割

Object-Oriented Method Based Urban Building Extraction from High Resolution Remote Sensing Image
QIAO Cheng,LUO Jian-cheng,WU Quan-yuan,SHEN Zhan-feng,WANG Hong.Object-Oriented Method Based Urban Building Extraction from High Resolution Remote Sensing Image[J].Geography and Geo-Information Science,2008,24(5).
Authors:QIAO Cheng  LUO Jian-cheng  WU Quan-yuan  SHEN Zhan-feng  WANG Hong
Abstract:Development of high resolution remote sensing makes it become a key factor in areas of surveying and mapping,urban planning,resources and environment,etc.In the same time,it is badly needed in change detection of urban buildings imposed by city's accelerated development.High-resolution remote sensing images have many more spatial and textural characteristics than low-resolution data except spectral characteristics.Thus,using multi-scale segmentation based on object-oriented method,combined with mask operation to extract buildings from IKONOS image of Shandong normal university,that is,do small-scale segmentation first,then large-scale.The result shows that this method is more efficient,and it provides a new technical approach for the information extraction from high resolution images.
Keywords:high resolution remote sensing  object-oriented  urban building  multi-scale segmentation
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