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Target fast matching recognition of on-board system based on Jilin-1 satellite image
Xu, W.; Y.-T. Chen; Y.-J. Piao and S.-J. Wang
2017
Source PublicationGuangxue Jingmi Gongcheng/Optics and Precision Engineering
Volume25Issue:1
AbstractAiming at problems such as long cycle and insufficient real time information in traditional remote sensing ground target image recognition system, an on-board target fast matching recognition platform is designed for fast on-orbit satellite recognition, and an improved feature matching recognition algorithm based on fast retinal key points (FREAK) is proposed to solve the problems of complex backgrounds and large amount of data in remote sensing image, First, we introduce the principle of on-board target recognition system and propose the simplified FREAK feature extraction model, and then we reduce the model of original algorithm from seven floors to four to quickly extract target features in remote sensing image. And then the high-dimensional feature data is quantified into two-dimensional data using binary quantization space, thus improving the accuracy of the algorithm; finally, the remote targets are recognized quickly by matching. The experimental results show that the matching accuracy can be increased by 2.3%, and matching time can be reduced by 27.8%. It can meet the requirements of quick identification of remote sensing satellite on-orbit targets. 2017, Science Press. All right reserved.
Indexed Byei
Language中文
Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/59353
Collection中科院长春光机所知识产出
Recommended Citation
GB/T 7714
Xu, W.,Y.-T. Chen,Y.-J. Piao and S.-J. Wang. Target fast matching recognition of on-board system based on Jilin-1 satellite image[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2017,25(1).
APA Xu, W.,Y.-T. Chen,&Y.-J. Piao and S.-J. Wang.(2017).Target fast matching recognition of on-board system based on Jilin-1 satellite image.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,25(1).
MLA Xu, W.,et al."Target fast matching recognition of on-board system based on Jilin-1 satellite image".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 25.1(2017).
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