Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Gerardo Di Martino"'
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 656 (2024)
Floods are among the most severe and impacting natural disasters. Their occurrence rate and intensity have been significantly increasing worldwide in the last years due to climate change and urbanization, bringing unprecedented effects on human lives
Externí odkaz:
https://doaj.org/article/1652f592d3bc410682178f3d8e3d088f
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
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1286 (2023)
The modeling and simulation of topography-induced imaging distortions are crucial for consistent radiometric information exploitation in current and forthcoming SAR-based Earth observation missions with a high spatial and temporal resolution, with re
Externí odkaz:
https://doaj.org/article/27fd69b641d84edba80e5125fd52f5f9
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
Autor:
Luca Chiaraviglio, Angela Sara Cacciapuoti, Gerardo Di Martino, Marco Fiore, Mauro Montesano, Damiano Trucchi, Nicola Blefari Melazzi
Publikováno v:
IEEE Access, Vol 6, Pp 51021-51037 (2018)
The deployment of 5G networks will necessarily involve the installation of new base station (BS) equipment to support the requirements of next-generation mobile services. In a scenario where there exist already many sources of electromagnetic fields
Externí odkaz:
https://doaj.org/article/d34dffcbb5ea464c8bdaa9183398211d
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
Autor:
Donato Amitrano, Gerardo Di Martino, Antonio Iodice, Francesco Mitidieri, Maria Nicolina Papa, Daniele Riccio, Giuseppe Ruello
Publikováno v:
Remote Sensing, Vol 6, Iss 11, Pp 10676-10693 (2014)
In this paper we explore the performances and the opportunities provided by the European satellite Sentinel-1 for water resource management applications in low-income countries. The analysis is supported by a synthetic aperture radar (SAR) simulator,
Externí odkaz:
https://doaj.org/article/3e32557bcb3041ebafb661286a81aeb2