摘要
针对基于仿射不变特征的遥感影像匹配技术,提出了一种自动优化方法,以进一步提高匹配准确性。根据典型需求形成了两套优化实施方案,基于所提出的自动优化方法实现了相应具体算法。针对不同类型的多组影像,自动优化的效果与相应方案的预定目标一致,充分证明了本方法的有效性与适用性。
An automated optimization method for affine invariant feature matching on remote sensing imagery is proposed. The correct matching rate is developed as an evaluation criterion of the optimized processing for affine invariant feature matching, which guarantees the quality of the optimized processing and realizes automated processing. Overlap rate is calculated by projecting a local region onto the corresponding region based on homograhpy, upon which a correct matching rate is determined. For different purposes, two classical optimization solutions are introduced. The algorithm for each solution is implemented based on the proposed method. By using one stereo satellite image and two stereo aerial images with different types, the experiment indicates that the results of feature matching can be optimized automated and accurately by our method according to corresponding optimization solution.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第4期418-422,共5页
Geomatics and Information Science of Wuhan University
基金
国家973计划资助项目(2006CB701300)
国家教育部高等学校博士学科点专项科研基金(20070284001)
关键词
仿射不变特征
特征匹配
RANSAC
自动优化
匹配正确率
affine invariant feature
feature matching
RANSAC
automated optimization
correct matching rate
