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基于特征空间的航空影像自动配准算法
引用本文:杨常清,王孝通,徐晓刚,张晓娟.基于特征空间的航空影像自动配准算法[J].测绘学报,2005,34(3):218-222.
作者姓名:杨常清  王孝通  徐晓刚  张晓娟
作者单位:海军大连舰艇学院,航海系,辽宁,大连,116018;海军大连舰艇学院,自动化系,辽宁,大连,116018;海军出版社,自动化室,天津,300450
摘    要:为解决图像配准的出界点、噪声干扰等问题,提出一种基于特征空间的航空影像配准算法.该算法采用改进的Harris算子提取特征点(角点),并建立角点特征空间,根据三级匹配策略,实现特征点的匹配,完成图像配准.实验结果表明,该算法在旋转、缩放、噪声等多种因素的影响下具有良好的配准效果,特别是对于小重叠区域(具有75%以上出界点)的图像对,配准效果良好.

关 键 词:图像配准  航空影像  特征提取  角点匹配  特征空间
文章编号:1001-1595(2005)03-0218-05
收稿时间:12 7 2004 12:00AM
修稿时间:2004-12-07

Automatic Registration of Aerophotos Based on Feature Space
YANG Chang-qing,WANG Xiao-tong,XU Xiao-gang,ZHANG Xiao-juan.Automatic Registration of Aerophotos Based on Feature Space[J].Acta Geodaetica et Cartographica Sinica,2005,34(3):218-222.
Authors:YANG Chang-qing  WANG Xiao-tong  XU Xiao-gang  ZHANG Xiao-juan
Abstract:To solve the general outliers and noise corruption problem in image registration, a new fast algorithm based on feature space is proposed. Corners are extracted using improved Harris operator, and feature space of Corner is built based on average square gradient matrix. Then three steps of matching strategy are adopted to realize image matching. The experiments show that this algorithm has the good performance under varies of conditions such as rotation, scale, and noise, especially in the condition that images overlap with less than 1/4.
Keywords:image registration  aero photos  feature extraction  corner matching  feature space
本文献已被 CNKI 维普 万方数据 等数据库收录!
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