The laser-induced damage change detection for optical elements using siamese convolutional neural networks
文献类型:期刊论文
作者 | Jingwei Kou1,3; Tao Zhan2; Deyun Zhou3; Wei Wang1; Zhengshang Da1; Maoguo Gong2 |
刊名 | Applied Soft Computing |
出版日期 | 2020 |
卷号 | 87页码:106015 |
ISSN号 | 1568-4946 |
关键词 | Laser-induced Damage Change Detection Siamese Convolutional Neural Network Weighted Softmax Loss |
DOI | https://doi.org/10.1016/j.asoc.2019.106015 |
产权排序 | 1 |
英文摘要 | Due to the fact that weak and fake laser-induced damages may occur in the surface of optical elements in high-energy laser facilities, it is still a challenging issue to effectively detect the real laser-induced damage changes of optical elements in optical images. Different from the traditional methods, in this paper, we put forward a similarity metric optimization driven supervised learning model to perform the laser-induced damage change detection task. In the proposed model, an end-to-end siamese convolutional neural network is designed and trained which can integrate the difference image generating and difference image analysis into a whole network. Thus, the damage changes can be highlighted by the pre-trained siamese network that classifies the central pixel between input multitemporal image patches into changed and unchanged classes. To address the problem of unbalanced distribution between positive and negative samples, a modified average frequency balancing based weighted softmax loss is used to train the proposed network. Experiments conducted on two real datasets demonstrate the effectiveness and superiority of the proposed model. |
学科主题 | 人工智能 ; 计算机科学技术其他学科 |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.opt.ac.cn/handle/181661/67897] |
专题 | 西安光学精密机械研究所_先进光学仪器研究室 |
通讯作者 | Maoguo Gong |
作者单位 | 1.The Advanced Optical Instrument Research Department, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences 2.Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University 3.School of Electronics and Information, Northwestern Polytechnical University |
推荐引用方式 GB/T 7714 | Jingwei Kou,Tao Zhan,Deyun Zhou,et al. The laser-induced damage change detection for optical elements using siamese convolutional neural networks[J]. Applied Soft Computing,2020,87:106015. |
APA | Jingwei Kou,Tao Zhan,Deyun Zhou,Wei Wang,Zhengshang Da,&Maoguo Gong.(2020).The laser-induced damage change detection for optical elements using siamese convolutional neural networks.Applied Soft Computing,87,106015. |
MLA | Jingwei Kou,et al."The laser-induced damage change detection for optical elements using siamese convolutional neural networks".Applied Soft Computing 87(2020):106015. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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