北京大学学报（自然科学版） ›› 2016, Vol. 52 ›› Issue (6): 990-998.DOI: 10.13209/j.0479-8023.2016.063

上一篇    下一篇

应用于无人机视频影像密集匹配的特征描述方法

魏云鹏, 赵红颖†, 辛甜甜, 郑鸿云   

  1. 北京大学遥感与地理信息研究所, 北京 100871
  • 收稿日期:2015-05-31 修回日期:2015-09-02 出版日期:2016-11-20 发布日期:2016-11-20
  • 通讯作者: 赵红颖, E-mail: zhaohy(at)pku.edu.cn
  • 基金资助:
    国家自然科学基金(41371492)资助

Feature Description Method in Dense Matching of UAV Video Images

WEI Yunpeng, ZHAO Hongying†, XIN Tiantian, ZHENG Hongyun   

  1. Institute of Remote Sensing and Geographical Information System, Peking University, Beijing 100871
  • Received:2015-05-31 Revised:2015-09-02 Online:2016-11-20 Published:2016-11-20
  • Contact: ZHAO Hongying, E-mail: zhaohy(at)pku.edu.cn

RichHTML

PDF

PDF (翻译版)

摘要：

为了降低无人机视频影像密集匹配的消耗时间, 提高处理效率, 提出快速的特征描述和特征匹配方法。该方法首先利用Harris算子检测角点, 然后通过特征描述符simplified-DASIY(S-DASIY)对检测角点进行特征描述, 生成该点的25维特征描述符。根据相应的匹配准则对影像对特征点进行匹配, 得到影像对的匹配点。实验表明, 该方法能够显著减少特征点的生成和匹配时间。

关键词: 无人机, 密集匹配, 特征描述符, 视频影像

Abstract:

In order to reduce the time consumption of UAV video image dense matching, and improve processing efficiency, this paper presents a fast feature description and feature matching method. The method uses Harris operator to detect corners, adopts feature descriptor S-DASIY (DASIY) to characterize detected corners and generate the 25-dimensional feature descriptor for the corners. The feature points of the images are matched in accordance with the appropriate matching criteria, to get the match points between images. Experimental results show that the proposed fast feature description and feature matching method can significantly reduce the time of generating and matching feature points.

Key words: UAV, dense matching, feature descriptor, video images

中图分类号: 

版权所有 © 《北京大学学报（自然科学版）》编辑部
技术支持：北京玛格泰克科技发展有限公司