Buried Object Imaging Using a Small UAS-based GPR

被引:6
|
作者
Roussi, Christopher [1 ]
Xique, Ismael [1 ]
Burns, Joseph [1 ]
Hart, Benjamin [1 ]
机构
[1] Michigan Technol Univ, Michigan Tech Res Inst, Ann Arbor, MI 48105 USA
关键词
Ground Penetrating Radar; Imaging; UAS; Buried Object;
D O I
10.1117/12.2518997
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Ground-based systems for imaging objects at standoff distances usually interrogate the ground region of interest at shallow grazing angles. Thus, only a small amount of the transmitted radar energy propagates into the ground, and an even smaller portion of the target backscattered energy is returned to the sensor, thus limiting detection performance. Mounting a small size, weight and power radar on a small unmanned aerial system (sUAS) platform provides a method of interrogating the ground at more favorable angles of incidence with the radar operator being at a safe standoff distance. Reliable detection and/or imaging of a buried object from a sUAS is influenced by several issues related to sensor power, measurement of sensor position and control of the sUAS in the proximity to the ground. We performed a series of measurements of buried objects using a small radar on a tethered sUAS to explore these issues. The experiments and issues encountered will be discussed, and three-dimensional radar imagery of buried objects generated from the measurements will be presented.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] UAS-based object tracking via Deep Learning
    Dinh, Marc
    Morris, Brendan
    Kim, Yoohwan
    2019 IEEE 9TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2019, : 271 - 275
  • [2] Buried object detection by using GPR
    Sezgin, M
    Tasdelen, I
    PROCEEDINGS OF THE IEEE 12TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, 2004, : 599 - 602
  • [3] Extraction of the signature of a buried object using GPR
    Ghosh, Debalina
    Sarkar, Tapan K.
    2006 IEEE RADAR CONFERENCE, VOLS 1 AND 2, 2006, : 296 - +
  • [4] UAS-based multispectral imaging for detecting iron chlorosis in grain sorghum
    Garcia-Williams, Isabel A.
    Starek, Michael J.
    Brewer, Michael J.
    Berryhill, Jacob
    AGROSYSTEMS GEOSCIENCES & ENVIRONMENT, 2024, 7 (03)
  • [5] ANALYSIS OF FUTURE UAS-BASED DELIVERY
    Balaban, Mariusz A.
    Mastaglio, Thomas W.
    Lynch, Christopher J.
    2016 WINTER SIMULATION CONFERENCE (WSC), 2016, : 1595 - 1606
  • [6] UAS-based imaging for prediction of chickpea crop biophysical parameters and yield
    Avneri, Asaf
    Aharon, Shlomi
    Brook, Anna
    Atsmon, Guy
    Smirnov, Evgeny
    Sadeh, Roy
    Abbo, Shahal
    Peleg, Zvi
    Herrmann, Ittai
    Bonfil, David J.
    Lati, Ran Nisim
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 205
  • [7] Crack Segmentation on UAS-based Imagery using Transfer Learning
    Benz, Christian
    Debus, Paul
    Ha, Huy Khanh
    Rodehorst, Volker
    2019 INTERNATIONAL CONFERENCE ON IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ), 2019,
  • [8] Imaging and inversion of buried objects using GPR
    van den Berg, PM
    Abubakar, A
    Budko, NV
    Remis, RF
    IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS, 2001, : 1377 - 1380
  • [9] Buried Object Detection and Imaging Through Innovative Processing of GPR Data
    Salucci, Marco
    Tenuti, Lorenza
    Poli, Lorenzo
    Massa, Andrea
    2017 11TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2017, : 1703 - 1706
  • [10] Field Application of UAS-Based Bridge Inspection
    Seo, Junwon
    Duque, Luis
    Wacker, James P.
    TRANSPORTATION RESEARCH RECORD, 2018, 2672 (12) : 72 - 81