计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (20): 110-112.DOI: 10.3778/j.issn.1002-8331.2010.20.031

• 图形、图像、模式识别 • 上一篇    下一篇

适于光学遥感图像的角点特征检测算法

张雷雨,邵永社,韩 阳   

  1. 同济大学 测量与国土信息系,上海 200092

  • 收稿日期:2009-04-24 修回日期:2009-07-03 出版日期:2010-07-11 发布日期:2010-07-11
  • 通讯作者: 张雷雨

Algorithm for corner feature detection of optical remote sensing image

ZHANG Lei-yu,SHAO Yong-she,HAN Yang   

  1. Department of Surveying and Geo-informatics,Tongji University,Shanghai 200092,China
  • Received:2009-04-24 Revised:2009-07-03 Online:2010-07-11 Published:2010-07-11
  • Contact: ZHANG Lei-yu

摘要: 角点特征检测和精确定位是图像配准与匹配的基础。探讨了Moravec算子和Harris算子的基本原理,并进行了图像的角点特征检测和实验分析,结果显示Harris算子效果要好。但是,Harris算子对真实遥感图像角点特征的检测尚不能取得理想的结果,因此,对Harris算子进行了改进。实验表明,通过改进后的Harris算子对遥感图像上的角点特征的检测具有较好的检测效果。

关键词: 角点特征, Moravec算子, Harris算子

Abstract: Corner feature detection and accurate location are the foundation of image registration and matching.This paper discusses the basic principle of Moravec operator and Harris operator,and detects the corner feature of the image and analyzes the test results,the results show that Harris operator gets better results.However,Harris operator can not achieve the desired results on detecting the corner feature of the real remote sensing image,therefore,this paper improves Harris operator.The experiments show that improved Harris operator can obtain good test results on detecting the corner feature of the remote sensing image.

Key words: corner feature, Moravec operator, Harris operator

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