Cargando…
Image-Based RCS Estimation from Near-Field Data
This paper deals with the problem of estimating the RCS from near-field data by image-based approaches. In particular, a rigorous focusing procedure based on a weighted adjoint scheme, which is also applicable to an arbitrary measurement curve, is developed. The developed formalism allows us to addr...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320939/ https://www.ncbi.nlm.nih.gov/pubmed/34460499 http://dx.doi.org/10.3390/jimaging5060061 |
_version_ | 1783730732566315008 |
---|---|
author | Rajvanshi, Tushar Maisto, Maria Antonia Dell’Aversano, Angela Solimene, Raffaele |
author_facet | Rajvanshi, Tushar Maisto, Maria Antonia Dell’Aversano, Angela Solimene, Raffaele |
author_sort | Rajvanshi, Tushar |
collection | PubMed |
description | This paper deals with the problem of estimating the RCS from near-field data by image-based approaches. In particular, a rigorous focusing procedure based on a weighted adjoint scheme, which is also applicable to an arbitrary measurement curve, is developed. The developed formalism allows us to address the important question concerning the need to employ a multi-frequency configuration to estimate the RCS. Accordingly, it is shown that if RCS is required at a given frequency, then the target image obtained solely at such a frequency can be exploited provided that the spatial truncation arising from the size of the investigated area is properly taken into account. |
format | Online Article Text |
id | pubmed-8320939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83209392021-08-26 Image-Based RCS Estimation from Near-Field Data Rajvanshi, Tushar Maisto, Maria Antonia Dell’Aversano, Angela Solimene, Raffaele J Imaging Article This paper deals with the problem of estimating the RCS from near-field data by image-based approaches. In particular, a rigorous focusing procedure based on a weighted adjoint scheme, which is also applicable to an arbitrary measurement curve, is developed. The developed formalism allows us to address the important question concerning the need to employ a multi-frequency configuration to estimate the RCS. Accordingly, it is shown that if RCS is required at a given frequency, then the target image obtained solely at such a frequency can be exploited provided that the spatial truncation arising from the size of the investigated area is properly taken into account. MDPI 2019-06-17 /pmc/articles/PMC8320939/ /pubmed/34460499 http://dx.doi.org/10.3390/jimaging5060061 Text en © 2019 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Rajvanshi, Tushar Maisto, Maria Antonia Dell’Aversano, Angela Solimene, Raffaele Image-Based RCS Estimation from Near-Field Data |
title | Image-Based RCS Estimation from Near-Field Data |
title_full | Image-Based RCS Estimation from Near-Field Data |
title_fullStr | Image-Based RCS Estimation from Near-Field Data |
title_full_unstemmed | Image-Based RCS Estimation from Near-Field Data |
title_short | Image-Based RCS Estimation from Near-Field Data |
title_sort | image-based rcs estimation from near-field data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320939/ https://www.ncbi.nlm.nih.gov/pubmed/34460499 http://dx.doi.org/10.3390/jimaging5060061 |
work_keys_str_mv | AT rajvanshitushar imagebasedrcsestimationfromnearfielddata AT maistomariaantonia imagebasedrcsestimationfromnearfielddata AT dellaversanoangela imagebasedrcsestimationfromnearfielddata AT solimeneraffaele imagebasedrcsestimationfromnearfielddata |