DOAJ Open Access 2019

Image-Based RCS Estimation from Near-Field Data

Tushar Rajvanshi Maria Antonia Maisto Angela Dell’Aversano Raffaele Solimene

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Photography Computer applications to medicine. Medical informatics Electronic computers. Computer science

Penulis (4)

Tushar Rajvanshi

Maria Antonia Maisto

Angela Dell’Aversano

Raffaele Solimene

Format Sitasi

APA MLA BibTeX

Rajvanshi, T., Maisto, M.A., Dell’Aversano, A., Solimene, R. (2019). Image-Based RCS Estimation from Near-Field Data. https://doi.org/10.3390/jimaging5060061

Akses Cepat

Lihat di Sumber doi.org/10.3390/jimaging5060061

Informasi Jurnal

Tahun Terbit: 2019
Sumber Database: DOAJ
DOI: 10.3390/jimaging5060061
Akses: Open Access ✓