| 基于SIFT+FSC算法的遥感图像自动匹配 |
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| 引用本文： | 郭丽,焦红波,董少敏.基于SIFT+FSC算法的遥感图像自动匹配[J].海洋测绘,2021(2):49-53. |
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| 作者姓名： | 郭丽 焦红波 董少敏 |
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| 作者单位： | 92556 部队,浙江 舟山 310000;国家海洋信息中心,天津 300171 |
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| 摘 要： | 为提高遥感影像间自动匹配的精度,采用SIFT(scale invariant feature)算法进行特征提取以及初匹配,并利用RANSAC(random sample consensus)和FSC(fast sample consensus)算法进行局外点剔除,分析剩余点的数量和分布情况。经过实验对比,基于SIFT+FSC算法,可以获取足够数量且分布均匀的匹配点对,实现遥感图像自动化的精确匹配,为影像的批量自动校正处理提供了解决思路。
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| 关 键 词： | 遥感影像处理 特征提取 图像匹配 SIFT算法 FSC算法 |
Automatic image registration of remote sensing images based on SIFT and FSC algorithms |
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| GUO Li,JIAO Hongbo,DONG Shaomin.Automatic image registration of remote sensing images based on SIFT and FSC algorithms[J].Hydrographic Surveying and Charting,2021(2):49-53. |
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| Authors: | GUO Li JIAO Hongbo DONG Shaomin |
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| Institution: | 92556 Troops,Zhoushan 310000 ,China;National Marine Data and Information Service,Tianjin 300171 , China |
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| Abstract: | Firstly the thesis performs feature extraction and first-step image registration by using SIFT algorithm, and removing the outliers through FSC(Fast Sample Consensus) algorithm and computing the parameters and then performing image registration and fusion process. Through the experimental comparison, a precise automatic image registration can be performed. This method provides a solution to the images of the farshore islands and overseas that are lacking ground control points. |
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