Autonomous Airborne 3D SAR Imaging System for Subsurface Sensing: UWB-GPR on Board a UAV for Landmine and IED Detection

被引:55
作者
Garcia-Fernandez, Maria [1 ]
Alvarez-Lopez, Yuri [1 ]
Las Heras, Fernando [1 ]
机构
[1] Univ Oviedo, Area Signal Theory & Commun, Gijon 33203, Spain
关键词
Ground Penetrating Radar (GPR); Unmanned Aerial Vehicles (UAVs); Synthetic Aperture Radar (SAR); Real Time Kinematic (RTK); Ultra-Wide-Band (UWB); landmine and IED detection; non-destructive testing;
D O I
10.3390/rs11202357
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This work presents an enhanced autonomous airborne Synthetic Aperture Radar (SAR) imaging system able to provide full 3D radar images from the subsurface. The proposed prototype and methodology allow the safe detection of both metallic and non-metallic buried targets even in difficult-to-access scenarios without interacting with the ground. Thus, they are particularly suitable for detecting dangerous targets, such as landmines and Improvised Explosive Devices (IEDs). The prototype is mainly composed by an Ultra-Wide-Band (UWB) radar module working from Ultra-High-Frequency (UHF) band and a high accuracy dual-band Real Time Kinematic (RTK) positioning system mounted on board an Unmanned Aerial Vehicle (UAV). The UAV autonomously flies over the region of interest, gathering radar measurements. These measurements are accurately geo-referred so as to enable their coherent combination to obtain a well-focused SAR image. Improvements in the processing chain are also presented in order to deal with some issues associated to UAV-based measurements (such as non-uniform acquisition grids) as well as to enhance the resolution and the signal to clutter ratio of the image. Both the prototype and the methodology were validated with measurements, showing their capability to provide high-resolution 3D SAR images.
引用
收藏
页数:20
相关论文
共 23 条
[1]   SAR-based technique for soil permittivity estimation [J].
Alvarez Lopez, Yuri ;
Garcia Fernandez, Maria ;
Arboleya Arboleya, Ana ;
Gonzalez-Valdes, Borja ;
Rodriguez Vaqueiro, Yolanda ;
Las-Heras Andres, Fernando ;
Pino Garcia, Antonio .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (18) :5168-5185
[2]   Freehand, Agile, and High-Resolution Imaging With Compact mm-Wave Radar [J].
Alvarez-Narciandi, Guillermo ;
Lopez-Portugues, Miguel ;
Las-Heras, Fernando ;
Laviada, Jaime .
IEEE ACCESS, 2019, 7 :95516-95526
[3]  
Comite D., 2017, P INT APPL COMP EL S
[4]   A review of GPR for landmine detection [J].
Daniels, David J. .
SENSING AND IMAGING, 2006, 7 (03) :90-123
[5]  
Fasano G., 2017, P INT C UNM AIRCR SY
[6]  
Fuse Y, 2016, PROC EUR CONF ANTENN
[7]   Synthetic Aperture Radar Imaging System for Landmine Detection Using a Ground Penetrating Radar on Board a Unmanned Aerial Vehicle [J].
Garcia Fernandez, Maria ;
Alvarez Lopez, Yuri ;
Arboleya, Ana Arboleya ;
Gonzalez Valdes, Borja ;
Rodriguez Vaqueiro, Yolanda ;
Las-Heras Andres, Fernando ;
Pino Garcia, Antonio .
IEEE ACCESS, 2018, 6 :45100-45112
[8]   On the Use of Unmanned Aerial Vehicles for Antenna and Coverage Diagnostics in Mobile Networks [J].
Garcia Fernandez, Maria ;
Alvarez Lopez, Yuri ;
Las-Heras Andres, Fernando .
IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (07) :72-78
[9]   Improvement of GPR SAR-Based Techniques for Accurate Detection and Imaging of Buried Objects [J].
Gonzalez-Diaz, Marcos ;
Garcia-Fernandez, Maria ;
Alvarez-Lopez, Yuri ;
Las-Heras, Fernando .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (06) :3126-3138
[10]  
Gonzalez-Valdes B., 2016, ES Patent, Patent No. [2,577,403 (WO2017/125627), 2017125627]