Stress reaction process-based hierarchical recognition algorithm for continuous intrusion events in optical fiber prewarning system

Hongquan Qu; Shijiao Yuan; Yanping Wang; Dan Yang

doi:10.1117/1.OE.57.4.046112

27 April 2018 Stress reaction process-based hierarchical recognition algorithm for continuous intrusion events in optical fiber prewarning system

Hongquan Qu, Shijiao Yuan, Yanping Wang, Dan Yang

Author Affiliations +

Optical Engineering, Vol. 57, Issue 4, 046112 (April 2018). https://doi.org/10.1117/1.OE.57.4.046112

Abstract

To improve the recognition performance of optical fiber prewarning system (OFPS), this study proposed a hierarchical recognition algorithm (HRA). Compared with traditional methods, which employ only a complex algorithm that includes multiple extracted features and complex classifiers to increase the recognition rate with a considerable decrease in recognition speed, HRA takes advantage of the continuity of intrusion events, thereby creating a staged recognition flow inspired by stress reaction. HRA is expected to achieve high-level recognition accuracy with less time consumption. First, this work analyzed the continuity of intrusion events and then presented the algorithm based on the mechanism of stress reaction. Finally, it verified the time consumption through theoretical analysis and experiments, and the recognition accuracy was obtained through experiments. Experiment results show that the processing speed of HRA is 3.3 times faster than that of a traditional complicated algorithm and has a similar recognition rate of 98%. The study is of great significance to fast intrusion event recognition in OFPS.

Citation Download Citation

Hongquan Qu, Shijiao Yuan, Yanping Wang, and Dan Yang "Stress reaction process-based hierarchical recognition algorithm for continuous intrusion events in optical fiber prewarning system," Optical Engineering 57(4), 046112 (27 April 2018). https://doi.org/10.1117/1.OE.57.4.046112

Received: 3 January 2018; Accepted: 5 April 2018; Published: 27 April 2018

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