Detection of Road Foreign Body Intrusion with Synthetic Aperture Radar. (21st March 2020)

• Record Type: Journal Article
• Authors: Hou, Lili; Zhang, Qian
• Other Names: Eftekhar Azam Saeed Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2020(2020)
• Publication Date: 2020-03-21
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2020/9423925
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.