Object Classification Based on Analysis of Spectral Characteristics of Seismic Signal Envelopes


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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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