Object Classification Based on Analysis of Spectral Characteristics of Seismic Signal Envelopes
- Authors: Morozov Y.V.1, Spektor A.A.1
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Affiliations:
- Novosibirsk State Technical University
- Issue: Vol 53, No 6 (2017)
- Pages: 576-582
- Section: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/212280
- DOI: https://doi.org/10.3103/S8756699017060061
- ID: 212280
Cite item
Abstract
A method for classifying moving objects having a seismic effect on the ground surface is proposed which is based on statistical analysis of the envelopes of received signals. The values of the components of the amplitude spectrum of the envelopes obtained applying Hilbert and Fourier transforms are used as classification criteria. Examples illustrating the statistical properties of spectra and the operation of the seismic classifier are given for an ensemble of objects of four classes (person, group of people, large animal, vehicle). It is shown that the computational procedures for processing seismic signals are quite simple and can therefore be used in real-time systems with modest requirements for computational resources.
About the authors
Yu. V. Morozov
Novosibirsk State Technical University
Email: spektor@corp.nstu.ru
Russian Federation, pr. Karla Marksa 20, Novosibirsk, 630073
A. A. Spektor
Novosibirsk State Technical University
Author for correspondence.
Email: spektor@corp.nstu.ru
Russian Federation, pr. Karla Marksa 20, Novosibirsk, 630073
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