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首页> 外文期刊>International journal of remote sensing >A novel extended phase correlation algorithm based on Log-Gabor filtering for multimodal remote sensing image registration
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A novel extended phase correlation algorithm based on Log-Gabor filtering for multimodal remote sensing image registration

机译：一种新型基于Log-Gabor滤波的延长相位相关算法，用于多模式遥感图像配准

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摘要

Automatic registration of multimodal remote sensing images, which is a critical prerequisite in a range of applications (e.g. image fusion, image mosaic, and image analysis), continues to be a fundamental and challenging problem. In this paper, we propose a novel extended phase correlation algorithm based on Log-Gabor filtering (LGEPC) for the registration of images with nonlinear radiometric differences and geometric differences (e.g. rotation, scale, and translation). Our algorithm focuses on two problems that the traditional extended phase correlation algorithms cannot well handle: 1) significant nonlinear radiometric differences and 2) large-scale differences between image pairs. After an over-complete multi-scale atlas space of the original image is built based on the filtered magnitudes obtained by using Log-Gabor filters with different central frequencies, the phase correlation of the single scale images is extended by LGEPC to atlases phase correlation, which is conducive to solving the problem of large scale and rotation differences between the image pairs. Subsequently, LGEPC eliminates the interface of the significant nonlinear radiometric differences by superimposing multi-scale geometric structural spectra and carrying out the phase correlation module, so that the translation can be well determined. Our experiments on synthetic images demonstrated the rationality and effectiveness of LGEPC, and the experiments on a variety of multimodal images confirmed that LGEPC can ideally achieve pixel-wise registration accuracy for multimodal image pairs that conform to the similarity transformation model.
机译：自动注册多模式遥感图像，这是一系列应用中的关键先决条件（例如，图像融合，图像镶嵌和图像分析），仍然是一个基本和挑战性的问题。在本文中，我们提出了一种基于Log-Gabor滤波（LGEPC）的新型延伸相位相关算法，用于非线性辐射差异和几何差异的图像登记（例如，旋转，缩放和翻译）。我们的算法侧重于传统的扩展相位相关算法不能很好地处理的两个问题：1）图像对之间的大规模非线性辐射差异和2）大规模差异。在基于通过使用具有不同中心频率获得的Log-Gabor滤波器获得的滤波器的大幅度构建原始图像的过度完整的多尺度图集空间之后，通过LGEPC扩展单个刻度图像的相位相关性，以达到Atlase相位相关，这有利于解决图像对之间大规模和旋转差异的问题。随后，LGEPC通过叠加多尺度几何结构光谱并执行相位相关模块，消除了显着的非线性辐射差异的界面，使得可以很好地确定转换。我们对合成图像的实验证明了LGEPC的合理性和有效性，并且对各种多模式图像的实验证实，LGEPC可以理想地实现符合相似性变换模型的多模式图像对的像素方面的登记精度。

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  • 来源
    《International journal of remote sensing》 |2019年第14期|5429-5453|共25页
  • 作者

    Xie Xunwei; Zhang Yongjun; Ling Xiao; Wang Xiang;

  • 作者单位

    Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan Hubei Peoples R China;

    Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan Hubei Peoples R China;

    Singapore ETH Ctr Future Cities Lab CREATE Tower Singapore Singapore;

    Wuhan Univ Sch Remote Sensing & Informat Engn Wuhan Hubei Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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