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A Multitemporal Images Registration Approach Based on Point-Line Constraints

机译:基于点线约束的多时相图像配准方法

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The monitoring of structural changes at the top of buildings is an important work of urban construction law enforcement management. The accurate registration of two images is very important for the small changes detection of the illegal top of the building. In this paper, a multiple temporal image registration method based on the Point-line constraint is proposed. The experimental results show that the proposed method is superior to the traditional single feature matching method. It can realize the high-precision registration of buildings with multi period images, and provide support for building top illegal monitoring.
机译:监测建筑物顶部的结构变化是城市建设执法管理的一项重要工作。两幅图像的准确配准对于检测建筑物非法顶部的微小变化非常重要。提出了一种基于点线约束的多时间图像配准方法。实验结果表明,该方法优于传统的单特征匹配方法。它可以实现具有多周期图像的建筑物的高精度配准,并为建筑物顶部的非法监控提供支持。

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