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A painting authentication method based on multi-scale spatial-spectral feature fusion and convolutional neural network
Ren, Zeyue1,2,3; Wang, Huawei1,3; Kong, Fanzi1,2,3; Liu, Qing1,3; Yang, Yongqing1
2023
会议名称3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology, CEI 2023
会议录名称2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology, CEI 2023
页码395-400
会议日期2023-12-15
会议地点Hybrid, Wuhan, China
出版者Institute of Electrical and Electronics Engineers Inc.
产权排序1
摘要

To address the focusing challenges of varying scales at different time points of moving target images in space, we propose an improved gradient-based image sharpness evaluation method for variable focusing window. The method obtains the target focusing window adaptively and computes the sharpness evaluation value by convolving the image within the focusing window with a multi-directional gradient operator weighted factor. Experiments show that the method exhibits strong sensitivity and anti-interference capabilities, contributing to the improved performance of the space imaging autofocus system. © 2023 IEEE.

关键词Painting authentication Hyperspectral imaging Multi-scale fusion Efficientnet v2
作者部门飞行器光学成像与测量技术研究室
DOI10.1109/CEI60616.2023.10528061
收录类别EI
ISBN号9798350372052
语种英语
EI入藏号20242216173539
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/97511
专题飞行器光学成像与测量技术研究室
通讯作者Wang, Huawei
作者单位1.Xi'an Institute of Optics and Precision Mechanics of Cas, Xi'an, China;
2.University of Chinese Academy of Sciences, Beijing, China;
3.Xi'an Key Laboratory of Spacecraft Optical Imaging and Measurement Technology, Xi'an, China
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GB/T 7714
Ren, Zeyue,Wang, Huawei,Kong, Fanzi,et al. A painting authentication method based on multi-scale spatial-spectral feature fusion and convolutional neural network[C]:Institute of Electrical and Electronics Engineers Inc.,2023:395-400.
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