Detection of Road Foreign Body Intrusion with Synthetic Aperture Radar

Joint Authors

Zhang, Qian
Hou, Lili

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

Civil Engineering

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