CIOMP OpenIR
Real-time and high precision feature matching between blur aerial images
D. C. Dai, L. N. Zheng, G. Q. Yuan, H. Zhang, Y. Zhang, H. J. Wang and Q. Kang
2022
发表期刊Plos One
ISSN1932-6203
卷号17期号:9页码:29
摘要When aerial cameras get aerial remote sensing images, the defocus will occur because of reasons such as air pressure, temperature and ground elevation changes, resulting in different image sharpness of continual aerial remote sensing images. Nowadays, the rapidly developing feature matching algorithm will rapidly reduce the registration rate between images with different image sharpness. Therefore, in order to enable aerial cameras to get image sharpness parameters according to the locations of aerial image feature points with inconsistent sharpness, this paper proposes a feature matching algorithm between aerial images with different sharpness by using DEM data and multiple constraints. In this paper, the feature matching range is extended according to the modified aerial imaging model and the nonlinear soft margin support vector machine. Then the relative moving speed and its variation of the feature points in the image are obtained by using the extended L-k optical flow, and finally the epipolar geometric constraint is introduced. To locate the feature points is obtained under multiple constraints, there is no need to calculate the feature point descriptors, and some mismatched point pairs are corrected, which improves the matching efficiency and precision. The experimental results show the feature matching precision of this algorithm is more than 90%, and the running time and matching precision can meet various application needs of aerial cameras.
DOI10.1371/journal.pone.0274773
URL查看原文
收录类别sci
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/67421
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
D. C. Dai, L. N. Zheng, G. Q. Yuan, H. Zhang, Y. Zhang, H. J. Wang and Q. Kang. Real-time and high precision feature matching between blur aerial images[J]. Plos One,2022,17(9):29.
APA D. C. Dai, L. N. Zheng, G. Q. Yuan, H. Zhang, Y. Zhang, H. J. Wang and Q. Kang.(2022).Real-time and high precision feature matching between blur aerial images.Plos One,17(9),29.
MLA D. C. Dai, L. N. Zheng, G. Q. Yuan, H. Zhang, Y. Zhang, H. J. Wang and Q. Kang."Real-time and high precision feature matching between blur aerial images".Plos One 17.9(2022):29.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Real-time and high p(5645KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[D. C. Dai, L. N. Zheng, G. Q. Yuan, H. Zhang, Y. Zhang, H. J. Wang and Q. Kang]的文章
百度学术
百度学术中相似的文章
[D. C. Dai, L. N. Zheng, G. Q. Yuan, H. Zhang, Y. Zhang, H. J. Wang and Q. Kang]的文章
必应学术
必应学术中相似的文章
[D. C. Dai, L. N. Zheng, G. Q. Yuan, H. Zhang, Y. Zhang, H. J. Wang and Q. Kang]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Real-time and high precision feature matching.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。