{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T16:14:07Z","timestamp":1740154447161,"version":"3.37.3"},"reference-count":17,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T00:00:00Z","timestamp":1586304000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministerio de Educaci\u00f3n y Formaci\u00f3n Profesional of Spain;Ministerio de Ciencia, Innovaci\u00f3n y Universidades;Principado de Asturias\/FEDER","award":["FPU15\/06431;RTI2018-095825-BI00;IDI\/2018\/000191"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"The electromagnetic imaging of multi-layered circular structures can be accomplished by means of different approaches. Among these approaches, the use of synthetic aperture radar (SAR) techniques with the compensation of the Green\u2019s function for multi-layered circular cylinders provides a trade-off between accuracy and computational complexity. Nevertheless, this approach relies on measurement points acquired uniformly. Thus, this prevents the adoption of more flexible sampling schemes, limiting the use of inaccurate positioners or manual scanners. To overcome this limitation, this paper proposes a method to handle non-uniform cylindrically acquired data, enabling multi-layered circular imaging based on non-uniformly acquired measurements. For this purpose, the presented method starts by projecting the non-uniformly measured points onto different circles with equally-spaced points. After that, the Green\u2019s function-based circular-SAR imaging method is applied to each projection circle. Lastly, the final SAR image is obtained by the superposition of the images from the previous step. Numerical simulations and experimental results demonstrated the effectiveness and robustness of the proposed method for practical nondestructive testing (NDT) applications.<\/jats:p>","DOI":"10.3390\/rs12071190","type":"journal-article","created":{"date-parts":[[2020,4,8]],"date-time":"2020-04-08T09:59:47Z","timestamp":1586339987000},"page":"1190","source":"Crossref","is-referenced-by-count":1,"title":["Multi-Layered Circular Dielectric Structures\u2019 Synthetic Aperture Radar Imaging Based on Green\u2019s Function Using Non-Uniform Measurements"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1644-0716","authenticated-orcid":false,"given":"Baolong","family":"Wu","sequence":"first","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9286-4372","authenticated-orcid":false,"given":"Guillermo","family":"\u00c1lvarez-Narciandi","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Oviedo, 33203 Gij\u00f3n, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6501-4353","authenticated-orcid":false,"given":"Jaime","family":"Laviada","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, University of Oviedo, 33203 Gij\u00f3n, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,8]]},"reference":[{"key":"ref_1","unstructured":"Soumekh, M. 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