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。
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.
出处
《测绘学报》
EI
CSCD
北大核心
2005年第3期218-222,共5页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金资助项目(60473141)
关键词
图像配准
航空影像
特征提取
角点匹配
特征空间
image registration
aero photos
feature extraction
corner matching
feature space
