Object Classification Based on Analysis of Spectral Characteristics of Seismic Signal Envelopes
- 作者: Morozov Y.V.1, Spektor A.A.1
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隶属关系:
- Novosibirsk State Technical University
- 期: 卷 53, 编号 6 (2017)
- 页面: 576-582
- 栏目: 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
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详细
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.
作者简介
Yu. Morozov
Novosibirsk State Technical University
Email: spektor@corp.nstu.ru
俄罗斯联邦, pr. Karla Marksa 20, Novosibirsk, 630073
A. Spektor
Novosibirsk State Technical University
编辑信件的主要联系方式.
Email: spektor@corp.nstu.ru
俄罗斯联邦, pr. Karla Marksa 20, Novosibirsk, 630073
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