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Remote Sensing Image Registration Based on Multifeature and Region Division

机译：基于多特征和区域划分的遥感影像配准

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摘要

Although many feature-based registration methods have been proposed, automatic image registration is still a challenging task due to the influence of various conditions and uncertain difficulties for remote sensing images. In this letter, a novel image registration method, including two types of feature detectors and a region boundary constraint strategy for matching, is proposed. Two types of features detected by scale-invariant feature transform and Harris operators have advantages of keeping different structural information in the image and increasing the number of keypoints for later matching. Afterward, a region boundary constraint strategy based on the image sketch map is utilized in matching step. This strategy restricts the detected two types of features in their respective structural region and nonstructural region to reduce the incorrect correspondences. Experimental results demonstrate the superiority of our proposed registration algorithm compared with other research works in terms of correct matching number and aligning accuracy.
机译：尽管已经提出了许多基于特征的配准方法，但是由于各种条件的影响以及遥感图像的不确定性，自动图像配准仍然是一项艰巨的任务。在这封信中，提出了一种新颖的图像配准方法，其中包括两种类型的特征检测器和用于匹配的区域边界约束策略。通过尺度不变特征变换和哈里斯算子检测到的两种类型的特征的优点是，可以在图像中保留不同的结构信息，并可以增加关键点的数量以用于以后的匹配。之后，在匹配步骤中利用基于图像草图的区域边界约束策略。该策略将检测到的两种类型的特征限制在它们各自的结构区域和非结构区域中，以减少错误的对应。实验结果证明了我们提出的配准算法在正确匹配数和对齐精度方面优于其他研究成果。

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  • 来源
    《IEEE Geoscience and Remote Sensing Letters》 |2017年第10期|1680-1684|共5页
  • 作者

    Wenping Ma; Yue Wu; Yafei Zheng; Zelian Wen; Liang Liu;

  • 作者单位

    Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi’an, China;

    Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi’an, China;

    School of Computer Science and Technology, Xidian University, Xi’an, China;

    Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi’an, China;

    Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi’an, China;

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  • 正文语种 eng
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  • 关键词

    Feature extraction; Detectors; Image edge detection; Remote sensing; Image registration; Transforms; Histograms;

    机译：特征提取;检测器;图像边缘检测;遥感;图像配准;变换;直方图;

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