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Review of Research on Registration of SAR and Optical Remote Sensing Image Based on Feature

机译:基于特征的SAR与光学遥感影像配准研究综述

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Synthetic Aperture Radar(SAR) and optical remote sensing image registration is the prerequisite for image fusion and it is of important theoretical significance and practical value. The image registration methods are mainly divided into the methods based on feature, the methods based on Gray-scale and others. This article systematically sorts out feature-based optical and SAR remote sensing image registration techniques, summarizes all types of image registration, points out their advantages and disadvantages and predicts the prospects of their future.
机译:合成孔径雷达(SAR)和光学遥感图像配准是图像融合的前提,具有重要的理论意义和实用价值。图像配准方法主要分为基于特征的方法,基于灰度的方法等。本文系统地梳理了基于特征的光学和SAR遥感影像配准技术,总结了各种影像配准技术,指出了它们的优缺点,并展望了其发展前景。

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