{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T06:43:11Z","timestamp":1725691391390},"reference-count":24,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T00:00:00Z","timestamp":1570752000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008743","name":"Ministerio de Educaci\u00f3n y Cultura","doi-asserted-by":"publisher","award":["FPU15\/06341"],"id":[{"id":"10.13039\/501100008743","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100014440","name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","doi-asserted-by":"publisher","award":["RTI2018-095825-B-I00"],"id":[{"id":"10.13039\/100014440","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011941","name":"Gobierno del Principado de Asturias","doi-asserted-by":"publisher","award":["IDI\/2018\/000191"],"id":[{"id":"10.13039\/100011941","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010551","name":"Instituto Universitario de Tecnolog\u00eda Industrial de Asturias","doi-asserted-by":"publisher","award":["SV-19-GIJON-1-17"],"id":[{"id":"10.13039\/501100010551","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"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.<\/jats:p>","DOI":"10.3390\/rs11202357","type":"journal-article","created":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T14:53:03Z","timestamp":1570805583000},"page":"2357","source":"Crossref","is-referenced-by-count":53,"title":["Autonomous Airborne 3D SAR Imaging System for Subsurface Sensing: UWB-GPR on Board a UAV for Landmine and IED Detection"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-8935-1912","authenticated-orcid":false,"given":"Maria","family":"Garcia-Fernandez","sequence":"first","affiliation":[{"name":"Area of Signal Theory and Communications, University of Oviedo, 33203 Gij\u00f3n, Spain"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3625-4515","authenticated-orcid":false,"given":"Yuri","family":"Alvarez-Lopez","sequence":"additional","affiliation":[{"name":"Area of Signal Theory and Communications, University of Oviedo, 33203 Gij\u00f3n, Spain"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7959-2114","authenticated-orcid":false,"given":"Fernando","family":"Las Heras","sequence":"additional","affiliation":[{"name":"Area of Signal Theory and Communications, University of Oviedo, 33203 Gij\u00f3n, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2019,10,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Yao, H., Qin, R., and Chen, X. (2019). Unmanned Aerial Vehicle for Remote Sensing Applications\u2014A Review. Remote Sens., 11.","DOI":"10.3390\/rs11121443"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Hildmann, H., and Kovacs, E. (2019). Review: Using Unmanned Aerial Vehicles (UAVs) as Mobile Sensing Platforms (MSPs) for Disaster Response, Civil Security and Public Safety. Drones, 3.","DOI":"10.3390\/drones3030059"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Manfreda, S., McCabe, M.F., Miller, P.E., Lucas, R., Pajuelo Madrigal, V., Mallinis, G., Ben Dor, E., Helman, D., Estes, L., and Ciraolo, G. (2018). On the Use of Unmanned Aerial Systems for Environmental Monitoring. Remote Sens., 10.","DOI":"10.20944\/preprints201803.0097.v1"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Jeziorska, J. (2019). UAs for Wetland Mapping and Hydrological Modeling. Remote Sens., 11.","DOI":"10.3390\/rs11171997"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1109\/MCOM.2018.1700991","article-title":"On the use of Unmanned Aerial Vehicles for antenna and coverage diagnostics in mobile networks","volume":"56","year":"2018","journal-title":"IEEE Commun. Mag."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1109\/JSTARS.2017.2752418","article-title":"Initial evaluation of SAR capabilities in UAV multicopter platforms","volume":"11","author":"Llort","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"45100","DOI":"10.1109\/ACCESS.2018.2863572","article-title":"Synthetic Aperture Radar imaging system for landmine detection using a Ground Penetrating Radar on board an Unmanned Aerial Vehicle","volume":"6","author":"Pino","year":"2018","journal-title":"IEEE Access"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2399","DOI":"10.1080\/01431160802549435","article-title":"A survey of land mine detection technology","volume":"30","author":"Robledo","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","unstructured":"Jol, H.M. (2009). Ground Penetrating Radar Theory and Applications, Elsevier Science."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1007\/s11220-006-0024-5","article-title":"A review of GPR for landmine detection","volume":"7","author":"Daniels","year":"2006","journal-title":"Sens. Imaging Int. J."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1023\/A:1026352615393","article-title":"Suppressing GPR clutter from randomly rough ground surfaces to enhance nonmetallic mine detection","volume":"4","author":"Rappaport","year":"2003","journal-title":"Subsurf. Sens. Technol. Appl."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1109\/TGRS.2006.888142","article-title":"Frequency subband processing and feature analysis of forward-looking ground-penetrating radar signals for land-mine detection","volume":"45","author":"Wang","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_13","unstructured":"Peichl, M., Schreiber, E., Heinzel, A., and Kempf, T. (2014, January 3\u20135). TIRAMI-SAR\u2014A Synthetic Aperture Radar approach for efficient detection of landmines and UXO. Proceedings of the 10th European Conference on Synthetic Aperture Radar\u2014EuSAR, Berlin, Germany."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Comite, D., Galli, A., Catapano, I., and Soldovieri, F. (2017, January 26\u201330). Advanced imaging for down-looking contactless GPR systems. Proceedings of the International Applied Computational Electromagnetics Society Symposium\u2014Italy (ACES), Florence, Italy.","DOI":"10.23919\/ROPACES.2017.7916396"},{"key":"ref_15","unstructured":"Gonzalez-Valdes, B., Alvarez-Lopez, Y., Arboleya, A., Rodriguez-Vaqueiro, Y., Garcia-Fernandez, M., Las Heras, F., and Pino, A. (2016). Airborne Systems and Methods for the Detection, Localisation and Imaging of Buried Objects, and Characterization of the Subsurface Composition. (2,577,403 (WO2017\/125627)), ES Patent."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Fasano, G., Renga, A., Vetrella, A.R., Ludeno, G., Catapano, I., and Soldovieri, F. (2017, January 13\u201316). Proof of concept of micro-UAV-based radar imaging. Proceedings of the International Conference on Unmanned Aircraft Systems (ICUAS), Miami, FL, USA.","DOI":"10.1109\/ICUAS.2017.7991432"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Schartel, M., B\u00e4hnemann, R., Burr, R., Mayer, W., and Waldschmidt, C. (2019, January 26\u201328). Position acquisition for a multicopter-based synthetic aperture radar. Proceedings of the 20th International Radar Symposium (IRS), Ulm, Germany.","DOI":"10.23919\/IRS.2019.8768172"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"95516","DOI":"10.1109\/ACCESS.2019.2929522","article-title":"Freehand, Agile and High-Resolution Imaging With Compact mm-Wave Radar","volume":"7","author":"Laviada","year":"2019","journal-title":"IEEE Access"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Gonzalez-Diaz, M., Garcia-Fernandez, M., Alvarez-Lopez, Y., and Las Heras, F. (2019). Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects. IEEE Trans. Instrum. Meas.","DOI":"10.1109\/TIM.2019.2930159"},{"key":"ref_20","unstructured":"(2019, August 31). Topcon B111 Receiver. Available online: https:\/\/www.topconpositioning.com\/oem-components-technology\/gnss-components\/b111."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1109\/JSTARS.2013.2287016","article-title":"Ground clutter removal in gpr surveys","volume":"7","author":"Solimene","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Johansson, E.M., and Mast, J.E. (1994, January 14). Three-dimensional ground-penetrating radar imaging using synthetic aperture time-domain focusing. Proceedings of the International Symposium on Optics, Imaging, and Instrumentation, International Society for Optics and Photonics, San Diego, CA, USA.","DOI":"10.1117\/12.186717"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Fuse, Y., Gonzalez-Valdes, B., Martinez-Lorenzo, J.A., and Rappaport, C.M. (2016, January 10\u201315). Advanced SAR imaging methods for forward-looking ground penetrating radar. Proceedings of the European Conference on Antennas and Propagation, Davos, Switzerland.","DOI":"10.1109\/EuCAP.2016.7481192"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5168","DOI":"10.1080\/01431161.2017.1335910","article-title":"SAR-based technique for soil permittivity estimation","volume":"38","author":"Alvarez","year":"2017","journal-title":"Int. J. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/20\/2357\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T06:26:18Z","timestamp":1718951178000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/20\/2357"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,11]]},"references-count":24,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2019,10]]}},"alternative-id":["rs11202357"],"URL":"https:\/\/doi.org\/10.3390\/rs11202357","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,11]]}}}