UAV-Mounted GPR for Object Detection Based on Cross-Correlation Background Subtraction Method

Unmanned aerial vehicle (UAV) ground-penetrating radar (GPR) is an important research topic for target detection in many fields. In this paper, we develop a UAV-mounted GPR system with a frequency band at 150 MHz–309 MHz. However, the received signal in the complex background is covered by various c...

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Main Authors: Shuxian Wu, Longxiang Wang, Xiaozhen Zeng, Feng Wang, Zichang Liang, Hongxia Ye
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/20/5132
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author Shuxian Wu
Longxiang Wang
Xiaozhen Zeng
Feng Wang
Zichang Liang
Hongxia Ye
author_facet Shuxian Wu
Longxiang Wang
Xiaozhen Zeng
Feng Wang
Zichang Liang
Hongxia Ye
author_sort Shuxian Wu
collection DOAJ
description Unmanned aerial vehicle (UAV) ground-penetrating radar (GPR) is an important research topic for target detection in many fields. In this paper, we develop a UAV-mounted GPR system with a frequency band at 150 MHz–309 MHz. However, the received signal in the complex background is covered by various clutter and interference, leading to the serious obscuring of the target. To meet this challenge, a cross-correlation-based background subtraction (CCBS) method and an interference suppression technique are adopted in combination for more accurate detection. The CCBS method processes the raw echo by establishing a background-removal model and using the similarity between each A−Scan and a reference wave. In addition, a Butterworth filter is adopted to get rid of the active electromagnetic interference beyond the working frequencies of the system; then, a lateral Doppler filtering (LDF) technique is introduced to suppress the passive interference generated by the rotation of the UAV rotor itself. Moreover, a practical method for estimating the dielectric constant is introduced by the calibration process of the measured radar echo. Numerical simulations and experimental results by our UAV-GPR system demonstrate that the proposed method has presented a better performance than the traditional methods, and the system has great potential in detecting deeply buried targets.
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spelling doaj.art-6d855551b1c745b4b37dfedba9d4bfb42023-11-24T02:19:46ZengMDPI AGRemote Sensing2072-42922022-10-011420513210.3390/rs14205132UAV-Mounted GPR for Object Detection Based on Cross-Correlation Background Subtraction MethodShuxian Wu0Longxiang Wang1Xiaozhen Zeng2Feng Wang3Zichang Liang4Hongxia Ye5Key Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology, Fudan University, Shanghai 200433, ChinaKey Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology, Fudan University, Shanghai 200433, ChinaKey Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology, Fudan University, Shanghai 200433, ChinaKey Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology, Fudan University, Shanghai 200433, ChinaShanghai Yunyi Electromagnetic Technology Co., Ltd., Shanghai 201100, ChinaKey Laboratory for Information Science of Electromagnetic Waves (MoE), School of Information Science and Technology, Fudan University, Shanghai 200433, ChinaUnmanned aerial vehicle (UAV) ground-penetrating radar (GPR) is an important research topic for target detection in many fields. In this paper, we develop a UAV-mounted GPR system with a frequency band at 150 MHz–309 MHz. However, the received signal in the complex background is covered by various clutter and interference, leading to the serious obscuring of the target. To meet this challenge, a cross-correlation-based background subtraction (CCBS) method and an interference suppression technique are adopted in combination for more accurate detection. The CCBS method processes the raw echo by establishing a background-removal model and using the similarity between each A−Scan and a reference wave. In addition, a Butterworth filter is adopted to get rid of the active electromagnetic interference beyond the working frequencies of the system; then, a lateral Doppler filtering (LDF) technique is introduced to suppress the passive interference generated by the rotation of the UAV rotor itself. Moreover, a practical method for estimating the dielectric constant is introduced by the calibration process of the measured radar echo. Numerical simulations and experimental results by our UAV-GPR system demonstrate that the proposed method has presented a better performance than the traditional methods, and the system has great potential in detecting deeply buried targets.https://www.mdpi.com/2072-4292/14/20/5132unmanned aerial vehicleground penetrating radarcorrelation-based background subtractioninterferencelateral Doppler filtering
spellingShingle Shuxian Wu
Longxiang Wang
Xiaozhen Zeng
Feng Wang
Zichang Liang
Hongxia Ye
UAV-Mounted GPR for Object Detection Based on Cross-Correlation Background Subtraction Method
Remote Sensing
unmanned aerial vehicle
ground penetrating radar
correlation-based background subtraction
interference
lateral Doppler filtering
title UAV-Mounted GPR for Object Detection Based on Cross-Correlation Background Subtraction Method
title_full UAV-Mounted GPR for Object Detection Based on Cross-Correlation Background Subtraction Method
title_fullStr UAV-Mounted GPR for Object Detection Based on Cross-Correlation Background Subtraction Method
title_full_unstemmed UAV-Mounted GPR for Object Detection Based on Cross-Correlation Background Subtraction Method
title_short UAV-Mounted GPR for Object Detection Based on Cross-Correlation Background Subtraction Method
title_sort uav mounted gpr for object detection based on cross correlation background subtraction method
topic unmanned aerial vehicle
ground penetrating radar
correlation-based background subtraction
interference
lateral Doppler filtering
url https://www.mdpi.com/2072-4292/14/20/5132
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