Remote sensing image target recognition based on fast retina key point local invariant feature

	Remote sensing image target recognition based on fast retina key point local invariant feature
	Chen, Y.; W. Xu; Y. Piao and J. Chen
	2016
发表期刊	Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
卷号	37 期号:4
摘要	Aiming at the problems that aerospace remote sensing image contains complex information and large amount of data, which leads to low feature detection accuracy and long feature matching recognition time in target recognition, a new target recognition method is proposed based on AGAST-Difference algorithm and FREAK description algorithm. Firstly, in the feature detection phase the AGAST-Difference feature detector is created, which fuses scale space theory into adaptive and generic corner detection based on the accelerated segment test (AGAST) detection algorithm by adding difference of Gaussian (DoG) operator, and generates the feature points with strong affine invariant. Then, the brief FREAK sampling model is used to describe the local features and build binary feature vectors. Finally, the feature matching and fast target recognition are achieved by computing the hamming distances among the features. The Quick Bird satellite remote sensing images were adopted to verify the proposed method; and the experiment results show that the proposed feature detector has strong affine invariant; it not only improves the detection repeatability, but also has strong discrimination ability for the feature descriptor. The average matching accuracy increases by 9.91%, and the recognition time is only 35ms. To sum up, the proposed method is fast and efficient, and could satisfy the requirement of remote sensing image real time recognition. 2016, Science Press. All right reserved.
文章类型	期刊
收录类别	EI
语种	中文
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/56871
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.,W. Xu,Y. Piao and J. Chen. Remote sensing image target recognition based on fast retina key point local invariant feature[J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument,2016,37(4).
APA	Chen, Y.,W. Xu,&Y. Piao and J. Chen.(2016).Remote sensing image target recognition based on fast retina key point local invariant feature.Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument,37(4).
MLA	Chen, Y.,et al."Remote sensing image target recognition based on fast retina key point local invariant feature".Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 37.4(2016).

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