Zobrazeno 1 - 10
of 297
pro vyhledávání: '"Antonio Iodice"'
Autor:
Antonio Iodice, Pasquale Imperatore
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3035 (2024)
We propose a perturbative method to compute electromagnetic scattering from slightly rough dielectric surfaces, which leads to the same result as the usual Small Perturbation Method (SPM) in a surprisingly simple way. The proposed method is based on
Externí odkaz:
https://doaj.org/article/49b29c3b3efc43bfb6d5deaab029f2cd
Publikováno v:
Fractal and Fractional, Vol 7, Iss 5, p 387 (2023)
Marine and terrestrial natural surfaces exhibit statistical scale invariance properties that are well modelled by fractional Brownian motion (fBm), two-dimensional random processes. Accordingly, for microwave remote sensing applications it is useful
Externí odkaz:
https://doaj.org/article/2bb78fa668234e868c4065067028d1ca
Autor:
Tiziana Beltramonte, Paolo Braca, Maurizio Di Bisceglie, Alessio Di Simone, Carmela Galdi, Antonio Iodice, Leonardo M. Millefiori, Daniele Riccio, Peter Willett
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1385-1399 (2020)
In this article, we carry out a simulation analysis of ship detection via Global Navigation Satellite System-Reflectometry (GNSS-R) delay-Doppler map (DDM). The GNSS-R DDM simulator used here is a modified version of an algorithm conceived for the ge
Externí odkaz:
https://doaj.org/article/d0a0971b6f504fb0b1839cd8a8b865a0
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 122 (2022)
Mapping urban areas from space is a complex task involving the definition of what should be considered as part of an urban agglomerate beyond the built-up features, thus modelling the transition of a city into the surrounding landscape. In this paper
Externí odkaz:
https://doaj.org/article/add82237d4e44fc0a258daab91e8882b
Link Budget Analysis for GNSS-R Sea Surface Return in Arbitrary Acquisition Geometries Using BA-PTSM
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 520 (2022)
In this article, we present a link budget analysis for Global Navigation Satellite System (GNSS) signals scattered off the sea surface in arbitrary acquisition geometries. The aim of our study is to investigate the reliability of the Geometrical Opti
Externí odkaz:
https://doaj.org/article/2d45d1c01ef64536a28839e5dc1719af
Publikováno v:
Sensors, Vol 21, Iss 15, p 5012 (2021)
In recent years, an increasing interest has been devoted to bistatic SAR configurations, which can be effectively used to improve system performance and/or to increase the amount of physical information retrievable from the observed scene. Within thi
Externí odkaz:
https://doaj.org/article/50ab61e9c7d24383abeca4804dab89f0
Publikováno v:
European Journal of Remote Sensing, Vol 50, Iss 1, Pp 87-97 (2017)
Synthetic Aperture Radar (SAR) images are greatly affected by the speckle noise. In order to improve SAR data readability by human interpreters and information extraction performed by computer programs, a despeckling preprocessing step is mandatory.
Externí odkaz:
https://doaj.org/article/237b279bad0747bf8147d4ddf902885d
Autor:
Donato Amitrano, Gerardo Di Martino, Raffaella Guida, Pasquale Iervolino, Antonio Iodice, Maria Nicolina Papa, Daniele Riccio, Giuseppe Ruello
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 604 (2021)
Microwave remote sensing has widely demonstrated its potential in the continuous monitoring of our rapidly changing planet. This review provides an overview of state-of-the-art methodologies for multi-temporal synthetic aperture radar change detectio
Externí odkaz:
https://doaj.org/article/0f542460fa7b4cbe947571a68be5256c
Software Tool for Soil Surface Parameters Retrieval from Fully Polarimetric Remotely Sensed SAR Data
Publikováno v:
Sensors, Vol 20, Iss 18, p 5085 (2020)
The retrieval of soil surface parameters, in particular soil moisture and roughness, based on Synthetic Aperture Radar (SAR) data, has been the subject of a large number of studies, of which results are available in the scientific literature. However
Externí odkaz:
https://doaj.org/article/7763487cbe8544fa8fa0cfab98ed99c6
Autor:
Massimiliano Gargiulo, Domenico A. G. Dell’Aglio, Antonio Iodice, Daniele Riccio, Giuseppe Ruello
Publikováno v:
Sensors, Vol 20, Iss 10, p 2969 (2020)
In this paper, we present a new approach to the fusion of Sentinel 1 (S1) and Sentinel 2 (S2) data for land cover mapping. The proposed solution aims at improving methods based on Sentinel 2 data, that are unusable in case of cloud cover. This goal i
Externí odkaz:
https://doaj.org/article/cdbb7287a4734169b297716c8f267d9c