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遥感图像三维目标多视点建模识别方法

Multi-View Modeling and Recognition of 3D Object in Remote Sensing Images

  • 摘要: 研究利用遥感灰度图像识别三维目标时的问题,提出一种基于多视点模型的匹配识别方法.使用3D广义锥模型投影得到二维视面模型,用于描述不同视点下的目标视面,并用几何结构特征来检索模型库.匹配过程层次地使用全局的与局部的、统计的与结构的目标识别特征,分为检索和精确匹配两个步骤完成.通过实验验证了该方法的有效性.

     

    Abstract: Two dimensional aspect model projected from three dimensional general cone model is used to describe aspects of objects in various views. Geometric structural features are used for indexing the models stored in data base. Matching is composed of two stages, namely indexing and exactly matching. Both global and local verification of statistical and structural features are utilized hierarchically. The validity of this approach is verified by experiments.

     

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