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城区高空间分辨率遥感数据由于存在大量同物异谱和异物同谱现象,应用传统的基于像元光谱分类的方法进行建筑物分类提取难以取得满意的效果。发展一种从高分辨率IKONOS卫星影像上基于知识规则的面向对象分类提取城区建筑物方法,包括如下步骤:①融合1m全色和4m多光谱波段影像,生成1m分辨率的多光谱融合影像;②分割融合影像;③执行基于对象光谱的最近邻监督分类;④应用模糊逻辑分类器结合光谱、空间、纹理和上下文特征等知识规则进行建筑物分类。统计试验表明,该分类方法提取城区建筑物精度可达到93%。 更多还原

【Abstract】 Building extraction in urban environment requires high spatial resolution remotely sensed data.However,traditional pixel-based classifiers based on spectral features are ineffective for high-resolution multi-spectral images due to large within-class spectral variations and between-class spectral confusions.In this study,a rule-based object-oriented classification method for building extraction was developed from an IKONOS urban scene.The method included the following steps: ① fusion of 1 m panch... 更多还原