Target Matching Recognition for Satellite Images Based on the Improved FREAK Algorithm

	Target Matching Recognition for Satellite Images Based on the Improved FREAK Algorithm
	Chen, Y. T.; W. Xu and Y. J. Piao
	2016
发表期刊	Mathematical Problems in Engineering
摘要	Satellite remote sensing image target matching recognition exhibits poor robustness and accuracy because of the unfit feature extractor and large data quantity. To address this problem, we propose a new feature extraction algorithm for fast target matching recognition that comprises an improved feature from accelerated segment test (FAST) feature detector and a binary fast retina key point (FREAK) feature descriptor. To improve robustness, we extend the FAST feature detector by applying scale space theory and then transform the feature vector acquired by the FREAK descriptor from decimal into binary. We reduce the quantity of data in the computer and improve matching accuracy by using the binary space. Simulation test results show that our algorithm outperforms other relevant methods in terms of robustness and accuracy.
文章类型	期刊
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/181722/56872
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Chen, Y. T.,W. Xu and Y. J. Piao. Target Matching Recognition for Satellite Images Based on the Improved FREAK Algorithm[J]. Mathematical Problems in Engineering,2016.
APA	Chen, Y. T.,&W. Xu and Y. J. Piao.(2016).Target Matching Recognition for Satellite Images Based on the Improved FREAK Algorithm.Mathematical Problems in Engineering.
MLA	Chen, Y. T.,et al."Target Matching Recognition for Satellite Images Based on the Improved FREAK Algorithm".Mathematical Problems in Engineering (2016).

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Target Matching Reco（11504KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载