A robust aerial image registration method using Gaussian mixture models

	A robust aerial image registration method using Gaussian mixture models
	Wu C.; Wang Y. Y.; Karimi H. R.
	2014
发表期刊	Neurocomputing
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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