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基于多尺度支撑域描述子的多光谱图像匹配算法
Alternative TitleMulti-spectral image registration algorithm based on multi-scale support region descriptors
赵恩波1,2; 史泽林1,3,4; 刘云鹏1,3,4
Department光电信息技术研究室
Source Publication计算机应用研究
ISSN1001-3695
2018
Volume36Issue:10Pages:1-8
Contribution Rank1
Funding Organization国家自然科学基金资助项目(61540069) ; 装发部共用技术课题(Y6K4250401)
Keyword多光谱图像匹配 特征描述子 外点去除
Abstract

针对现有多光谱图像匹配算法鲁棒性不强的问题,提出一种新的基于多尺度支撑域描述子的多光谱图像匹配算法。该算法首先提取Harris角点作为特征点;然后分别统计特征点不同尺度邻域内的边缘方向直方图,组合构成特征描述子;以欧氏距离为相似度准则,使用比值法获得初始匹配结果;最后提出了一种基于RANSAC算法的外点去除算法。实验结果表明,该算法可有效匹配多光谱图像,且与已有算法相比鲁棒性更强,获取的正确匹配对更多。

Other Abstract

To improve the robustness of the existing multi-spectral image registration algorithms, this paper proposed a new algorithm based on multi-scale support region descriptors. Firstly, the algorithm extracted the Harris corner points as feature points. Secondly, it constructed the descriptor by combining the edge direction histograms calculated respectively in the support regions of different sizes around a feature point. Then, the similarity criterion was the Euclidean distance, and it obtained the initial matches by the ratio method. Finally, this paper proposed an outlier removal algorithm based on RANSAC algorithm. The experimental results show that the proposed algorithm can match multi-spectral images effectively, be more robust than the existing algorithms, and obtain more matches that are correct.

Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/22093
Collection光电信息技术研究室
Corresponding Author赵恩波
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院大学
3.中国科学院光电信息处理重点实验室
4.辽宁省图像理解与视觉计算重点实验室
Recommended Citation
GB/T 7714
赵恩波,史泽林,刘云鹏. 基于多尺度支撑域描述子的多光谱图像匹配算法[J]. 计算机应用研究,2018,36(10):1-8.
APA 赵恩波,史泽林,&刘云鹏.(2018).基于多尺度支撑域描述子的多光谱图像匹配算法.计算机应用研究,36(10),1-8.
MLA 赵恩波,et al."基于多尺度支撑域描述子的多光谱图像匹配算法".计算机应用研究 36.10(2018):1-8.
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