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Detail publikace
DEJDAR, P. ZÁVIŠKA, P. VALACH, S. MÜNSTER, P. HORVÁTH, T.
Originální název
Image Edge Detection Methods in Perimeter Security Systems Using Distributed Fiber Optical Sensing
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The aim of this paper is to evaluate detection algorithms for perimeter security systems based on phase-sensitive optical time-domain reflectometry (Φ-OTDR). Our own designed and developed sensor system was used for the measurement. The main application of the system is in the area the perimeter fencing intrusion detection. The system is unique thanks to the developed motherboard, which contains a field-programmable gate array (FPGA) that takes care of signal processing. This allows the entire system to be integrated into a 1U rack chassis. A polygon containing two different fence types and also cable laid underground in a plastic tube was used for testing. Edge detection algorithms using the Sobel and Prewitt operators are considered for post-processing. The comparison is made based on the signal-to-noise ratio (SNR) values calculated for each event. Results of algorithms based on edge detection methods are compared with the conventional differential method commonly used in Φ-OTDR systems.
Klíčová slova
edge detection;intruder detection;phase-OTDR;signal-to-noise ratio;vibration sensing
Autoři
DEJDAR, P.; ZÁVIŠKA, P.; VALACH, S.; MÜNSTER, P.; HORVÁTH, T.
Vydáno
17. 6. 2022
Nakladatel
MDPI
ISSN
1424-8220
Periodikum
SENSORS
Ročník
22
Číslo
12
Stát
Švýcarská konfederace
Strany od
1
Strany do
13
Strany počet
URL
https://www.mdpi.com/1424-8220/22/12/4573
Plný text v Digitální knihovně
http://hdl.handle.net/11012/207504
BibTex
@article{BUT178236, author="Petr {Dejdar} and Pavel {Záviška} and Soběslav {Valach} and Petr {Münster} and Tomáš {Horváth}", title="Image Edge Detection Methods in Perimeter Security Systems Using Distributed Fiber Optical Sensing", journal="SENSORS", year="2022", volume="22", number="12", pages="1--13", doi="10.3390/s22124573", issn="1424-8220", url="https://www.mdpi.com/1424-8220/22/12/4573" }