基于面向对象的高分辨率遥感影像建筑物提取研究
Object-Oriented Remote Sensing Image of Building Extraction
  
DOI:
中文关键词:  面向对象  对象归属概率  贝叶斯理论  规则  
英文关键词:Object-oriented  The probability of an object belonging  Bayesian theory  Rule  
基金项目:
徐昌荣  葛山运
江西理工大学建筑与测绘工程学院;
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中文摘要:
      遥感影像上的建筑物是一种非常重要的地物。利用高分辨率遥感影像上建筑物的光谱、空间特征及上下文特征等,并通过贝叶斯理论计算对象的归属概率属性,提出了一种面向对象的高分辨率影像建筑物提取方法。实验证明该方法有较好的提取效果。
英文摘要:
      Remote sensing image building is a very important surface features.High-resolution remote sensing spectral images of buildings,spatial characteristics and context characteristics,and calculated by Bayesian probability of property ownership of the object,a object-oriented high-resolution imaging Building Extraction.Experiment shows that the better extraction.
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