Detection of Road Foreign Body Intrusion with Synthetic Aperture Radar
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-21
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Foreign body intrusion will cause interruption of road transportation and bring great threat to operation safety.
Detection of foreign body intrusion is a key step for efficient recognition, location, and tracking of foreign body intrusion.
Current detection approaches of foreign body intrusion are available, but can only detect in a certain range.
As an active remote sensing technique, synthetic aperture radar (SAR) can monitor wide areas of the earth, and thus provides a viable way to detect road foreign body intrusion in a wide range.
Firstly, because of large data, the SAR data in the azimuth is sparsely sampled to reduce data sampling.
Then, before detection of foreign body intrusion, compressed sensing (CS) theory is utilized to reconstruct the sparsely sampled data.
At last, Kalman filtering is adopted to detect foreign body intrusion.
The simulated results and real data processing results both validate the proposed method.
American Psychological Association (APA)
Hou, Lili& Zhang, Qian. 2020. Detection of Road Foreign Body Intrusion with Synthetic Aperture Radar. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1202229
Modern Language Association (MLA)
Hou, Lili& Zhang, Qian. Detection of Road Foreign Body Intrusion with Synthetic Aperture Radar. Mathematical Problems in Engineering No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1202229
American Medical Association (AMA)
Hou, Lili& Zhang, Qian. Detection of Road Foreign Body Intrusion with Synthetic Aperture Radar. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1202229
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202229