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国土资源遥感  2015, Vol. 27 Issue (3): 36-41    DOI: 10.6046/gtzyyg.2015.03.07
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
基于势函数点分布调整的SIFT图像配准算法
孙彬, 边辉, 王培忠
西北核技术研究所, 西安 710024
Image registration algorithm based on SIFT and potential function adjusting location of points
SUN Bin, BIAN Hui, WANG Peizhong
Northwest Institute of Nuclear Technology, Xi'an 710024, China
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摘要 尺度不变特征转换(scale invariant feature transform,SIFT)是一种广泛应用于图像配准领域的点特征提取算法。针对基于SIFT的图像自动配准算法存在的特征点分布不均匀问题,提出了一种基于势函数点分布调整的图像配准方法。该方法解决了SIFT算法不能针对特征点的分布情况进行优化的问题。通过调整SIFT的比值阈值,增加配准点的数目; 通过引入分子力学中的势函数概念,对特征点分布情况进行优化; 通过局部互信息精纠正,微调特征点位置,以提高特征配准点的配准精度; 最终实现高质量(空间分布均衡,配准精度高)的图像自动配准。
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关键词 秸秆焚烧可吸入颗粒物(PM10)气溶胶光学厚度(AOD)轨迹分析    
Abstract:Scale invariant feature transform(SIFT) is a popular feature extraction algorithm that has applied to remote sensing image automatic registration; nevertheless, there exists a problem in the remote sensing image automatic registration based on SIFT algorithm, i.e., the distribution of feature points is always nonuniform. An automatic image registration algorithm based on potential function model is presented in this paper, which can solve the problem of optimizing nonuniformity in feature point distribution in SIFT. By adjusting the threshold of SIFT, the number of matching points is promoted. The algorithm can optimize the uniformity in feature point distribution by potential model function in molecular mechanics, and make the low-precision feature point to the sparse area of feature points. Then it revises local mutual information to improve matching point accuracy, so as to realize a high quality (uniform space distribution, high accuracy of Sub-Pixel registration) automatic image registration finally.
Key wordsbiomass burning    particulate matter with particle size less than or equal to 10 microns (PM10)    aerosol optical depth (AOD)    trajectory analysis
收稿日期: 2014-05-12      出版日期: 2015-07-23
ZTFLH:  TP751.1  
  TP391.41  
作者简介: 孙彬(1983-),男,硕士,工程师,主要从事遥感图像处理和图像配准技术研究。Email:sunbin@ninit.ac.cn。
引用本文:   
孙彬, 边辉, 王培忠. 基于势函数点分布调整的SIFT图像配准算法[J]. 国土资源遥感, 2015, 27(3): 36-41.
SUN Bin, BIAN Hui, WANG Peizhong. Image registration algorithm based on SIFT and potential function adjusting location of points. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(3): 36-41.
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http://www.gtzyyg.com/CN/10.6046/gtzyyg.2015.03.07      或      http://www.gtzyyg.com/CN/Y2015/V27/I3/36
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