Changchun Institute of Optics,Fine Mechanics and Physics,CAS
A robust aerial image registration method using Gaussian mixture models | |
Wu C.; Wang Y. Y.; Karimi H. R. | |
2014 | |
发表期刊 | Neurocomputing
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ISSN | ISBN/0925-2312 |
期号 | 144页码:546-552 |
摘要 | Aerial image registration is one of the bases in many aerospace applications, such as aerial reconnaissance and aerial mapping. In this paper, we propose a novel aerial image registration algorithm which is based on Gaussian mixture models. First of all, considering the characters of the aerial images, the work uses a shape feature detector which computes the boundaries of regions with nearly the same gray-value to extract invariant feature. Then, a Gaussian mixture models (GMM) based image registration model is built and solved to estimate the transformation matrix between two aerial images. Furthermore, the proposed method is applied on real aerial images, and the results demonstrate the improved performance of the proposed algorithm. (C) 2014 Elsevier B.V. All rights reserved. |
收录类别 | SCI ; EI |
语种 | 英语 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/43698 |
专题 | 中科院长春光机所知识产出 |
推荐引用方式 GB/T 7714 | Wu C.,Wang Y. Y.,Karimi H. R.. A robust aerial image registration method using Gaussian mixture models[J]. Neurocomputing,2014(144):546-552. |
APA | Wu C.,Wang Y. Y.,&Karimi H. R..(2014).A robust aerial image registration method using Gaussian mixture models.Neurocomputing(144),546-552. |
MLA | Wu C.,et al."A robust aerial image registration method using Gaussian mixture models".Neurocomputing .144(2014):546-552. |
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Wu-2014-A robust aer(2082KB) | 开放获取 | CC BY-ND | 浏览 下载 |
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