一种改进的局部加权拟合校正方法

doi:10.11873/j.issn.1004-0323.2013.1.85

遥感技术与应用

2013, Vol. 28

Issue (1): 85-89 DOI: 10.11873/j.issn.1004-0323.2013.1.85

图像与数据处理

一种改进的局部加权拟合校正方法

王生明,李永树,何敬

(西南交通大学地理信息工程中心,四川成都 610031)

An Improved Locally-weighted-fitting Technique

Wang Shengming,Li Yongshu,He Jing

(GIS Engineering Center of Southwest Jiaotong University,Chengdu 610031,China)

全文: PDF(925 KB)

摘要：

几何校正是遥感图像处理的一个重要环节,是减弱遥感图像与地面真实形态差异的重要方法。但是常规几何校正方法对无人机影像进行校正,其效果不够理想。在分析了局部加权拟合校正法的基础上,用控制圆规定其局部校正区域,并且新增辅助控制点来覆盖该区域,以这种方法对其进行了改进。通过对同一无人机影像进行几何校正对比分析实验,结果表明:改进的局部加权拟合校正法能够更充分、合理地利用局部控制点信息,对控制点的分布具有更好的适应性,能够有效提高无人机影像的几何校正精度。

关键词： 无人机影像; 几何校正; 局部加权拟合校正法; 几何畸变

Abstract:

In remote sensing image process,geometric correction is an important component that can reduce or eliminate differences between remote sensing image and real geographic shape.But the effect of conventional technique for UAV image geometric correction is not satisfactory,it improves the locally-weighted-fitting technique by using control circle to regulate its local corrected region and adding auxiliary control point to the cover area.By contrast geometric correction analysis experiment,it shows that the locally-weighted-fitting technique improved may be more adequate and reasonable use of local information,has stronger adaptability for the distribution of control points,and can effectively improve the accuracy of the image geometric correction.

Key words: UAV image Geometric correction Locally-weighted-fitting technique Geometric distortion

收稿日期: 2011-11-17 出版日期: 2013-06-21

P 231

基金资助:

“十一五”国家科技支撑计划项目课题 (2006BAJ05A13)。

作者简介: 王生明(1987-),男,山东临沂人,硕士研究生,主要从事无人机遥感影像获取与处理、高分辨率遥感影像处理与制图研究。Email:1120289852@qq.com。

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引用本文:

王生明,李永树,何敬. 一种改进的局部加权拟合校正方法[J]. 遥感技术与应用, 2013, 28(1): 85-89.

Wang Shengming,Li Yongshu,He Jing. An Improved Locally-weighted-fitting Technique. Remote Sensing Technology and Application, 2013, 28(1): 85-89.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2013.1.85 或 http://www.rsta.ac.cn/CN/Y2013/V28/I1/85

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