Fractal Dimension Based on Morphological Covering for Ground Target Classification
Joint Authors
Du, Kai
Fang, Xiang
Zhang, Wei-ping
Ding, Kai
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-27
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Seismic waves are widely used in ground target classification due to its inherent characteristics.
However, they are often affected by extraneous factors and have been found to demonstrate a complicated nonlinear characteristic.
The traditional signal analysis methods cannot effectively extract the nonlinear features.
Motivated by this fact, this paper applies the fractal dimension (FD) based on morphological covering (MC) method to extract features of the seismic signals for ground targets classification.
With the data measured from test field, three different schemes based on MC method are employed to classify tracked vehicle and wheeled vehicle in different operation conditions.
Experiment results demonstrate that the three proposed methods achieve more than 90% accuracy for vehicle classification.
American Psychological Association (APA)
Du, Kai& Fang, Xiang& Zhang, Wei-ping& Ding, Kai. 2016. Fractal Dimension Based on Morphological Covering for Ground Target Classification. Shock and Vibration،Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1119158
Modern Language Association (MLA)
Du, Kai…[et al.]. Fractal Dimension Based on Morphological Covering for Ground Target Classification. Shock and Vibration No. 2016 (2016), pp.1-5.
https://search.emarefa.net/detail/BIM-1119158
American Medical Association (AMA)
Du, Kai& Fang, Xiang& Zhang, Wei-ping& Ding, Kai. Fractal Dimension Based on Morphological Covering for Ground Target Classification. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1119158
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119158