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Automatic image registration based on plain objects detection and recognition in remote sensing tasks

机译:基于纯对象检测和识别遥感任务的自动图像注册

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摘要

Image registration is central problem to many tasks in digital image processing and therefore it has a vast range of applications. A scheme of automatic image registration based on plain objects detection and recognition in remote sensing tasks is presented in this paper. It relates to the concept of plain object in image and includes three subsystems. A subsystem of plain objects detection in image is based on a new method of plain objects detection in image. It relates to the land use classification process, different image segmentation methods and depends on the particular application. A subsystem of conjugate plain objects determination relate to a new method of plain objects recognition in images by shape based on stochastic geometry. It is invariant with respect to projective distortions. A subsystem of image registration determines an optimal geometric transformation and register given input images based on it. This paper reviews existing methods of image registration and emphasizes parametric, non-parametric and hybrid image registration techniques. Experimental results confirm the efficiency of the proposed system.
机译:图像注册是数字图像处理中许多任务的核心问题,因此它具有广泛的应用程序。本文介绍了基于纯度对象检测和识别的自动图像配准方案。它涉及图像中普通对象的概念,包括三个子系统。图像中的普通物体检测的子系统是基于图像中普通物体检测的新方法。它涉及土地使用分类过程,不同的图像分割方法,并取决于特定的应用程序。基于随机几何形状的图像中图像中的纯度对象识别的新方法涉及一种缀合物普通物体的子系统。它与投影扭曲相比不变。图像登记的子系统确定基于它的最佳几何变换和寄存器给出的输入图像。本文审查了现有的图像登记方法,并强调参数,非参数和混合图像登记技术。实验结果证实了所提出的系统的效率。

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