吉首大学学报（自然科学版）2017，Vol.38Issue(2)：36-41,6.DOI:10.3969/j.cnki.jdxb.2017.02.007
基于小波重构与时空二维特征的光纤振动识别
Optical Fiber Vibration Recognition Based on Wavelet Reconstruction and Time-Space Features
摘要
Abstract
(College of Electronic Information Engineering,North China University of Technology,Beijing 100144,China)Abstract:The identification algorithm of intrusion signal source occupies a very important position in the optical fiber pre-warning system (OFPS).Identification of intrusion types is necessary for harmful intrusion recognition and precautionary measures.In this paper,a recognition algorithm for OFPS based on de-noising and reconstruction of wavelet analysis and feature analysis in time-space dimension is provided.Firstly,according to the feature analysis of the fiber vibration signal,the feature extraction based on wavelet de-noising and reconstruction is developed.Secondly,the gray image is disposed in time-space dimension.Finally,dilation and erosion method are employed to analyze this feature.The intrusion classification can be realized by this method.关键词
光纤预警/小波重构/灰度图腐蚀/目标识别Key words
optical fiber pre-warning system/wavelet reconstruction/grayscale corrosion/target recognition分类
信息技术与安全科学引用本文复制引用
曲洪权,王笑笑,毕福昆,郑彤..基于小波重构与时空二维特征的光纤振动识别[J].吉首大学学报（自然科学版）,2017,38(2):36-41,6.基金项目
国家自然科学基金资助项目(61571014) （61571014）
