一种考虑云检测的遥感影像匹配方法
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  • 英文篇名:Remote Sensing Image Matching Method Considering Cloud Detection
  • 作者:尹峰 ; 杨宇辉 ; 吴小语 ; 余海 ; 杨博
  • 英文作者:YIN Feng;
  • 关键词:云检测 ; 特征点检测 ; 影像匹配 ; 相位相关
  • 英文关键词:cloud detection;;feature points detection;;image matching;;phase correlation
  • 中文刊名:DXKJ
  • 英文刊名:Geospatial Information
  • 机构:湖北省国土资源研究院;武汉大学遥感信息工程学院;武汉大学测绘遥感信息工程国家重点实验室;武汉大学地球空间信息技术协同创新中心;
  • 出版日期:2019-04-18 14:37
  • 出版单位:地理空间信息
  • 年:2019
  • 期:v.17;No.116
  • 基金:湖北省国土资源科研计划项目(鄂土资文﹝2018﹞844号)
  • 语种:中文;
  • 页:DXKJ201904004
  • 页数:4
  • CN:04
  • ISSN:42-1692/P
  • 分类号:9+26-28
摘要
针对有云遥感影像间常规匹配效果不佳的问题,提出了一种考虑云检测的遥感影像匹配方法,主要包括有云区域的探测、特征点提取和相位匹配三个部分。通过对影像局部区域的高亮度像素的统计,在特征点提取时避开有云区域,最后通过物方空间的相位相关获取同名点对。实验表明本方法在包含大量云团的影像之间能够明显改善匹配效果。
        To overcome the matching difficulties between remote sensing images with cloud, we proposed a remote sensing image matching method considering cloud detection. This method mainly includes cloud area detection, feature point extraction and phase correlation. Through the statistics of high-brightness pixelsin the local area, we exclude the cloud regions during feature point extraction. We then obtain the corresponding point pairs by the phase correlation in the object space. The result shows that this method can obviously improve the matching effect between images with a large number of clouds.
引文
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