Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Nicomino Fiscante"'
Autor:
Francesco Forlingieri, Filippo Biondi, Nicomino Fiscante, Angelica Tarpanelli, Pia Addabbo, Carmine Clemente, Gaetano Giunta, Danilo Orlando
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12466-12476 (2024)
The problem of not having persistent river levels monitoring via satellite remote sensing is of considerable importance because the lack of this capability could affect the safety of inhabited areas near rivers. It has been shown that synthetic apert
Externí odkaz:
https://doaj.org/article/961ffa811a304a2187b9acf716efc4a5
Autor:
Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Nicomino Fiscante, Gaetano Giunta, Danilo Orlando, Linjie Yan
Publikováno v:
IEEE Access, Vol 11, Pp 23647-23658 (2023)
One of the greatest limitations of Synthetic Aperture Radar imagery is the capability to obtain an arbitrarily high spatial resolution. Indeed, despite optical sensors, this capability is not just limited by the sensor technology. Instead, improving
Externí odkaz:
https://doaj.org/article/455638d20d274313821675f10361f0fd
Autor:
Nicomino Fiscante, Pia Addabbo, Carmine Clemente, Filippo Biondi, Gaetano Giunta, Danilo Orlando
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 662 (2021)
In this paper we consider the tracking problem of a moving target competing against noise and clutter in a surveillance radar scenario. For a single array-antenna multiple-target tracking system and according to the Track-Before-Detect paradigm, we p
Externí odkaz:
https://doaj.org/article/75e5f96ee46542fb886192bbd73dbff2
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
In this letter, a new approach for the retrieval of the vertical column concentrations of trace gases from hyperspectral satellite observations, is proposed. The main idea is to perform a linear spectral unmixing by estimating the abundances of trace
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de06c9606985513d9a2121b7c0512ba
https://doi.org/10.1109/lgrs.2022.3141551
https://doi.org/10.1109/lgrs.2022.3141551
Autor:
Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Nicomino Fiscante, Gaetano Giunta, Danilo Orlando
One of the greatest limitations of Synthetic Aperture Radar imagery is the capability to obtain an arbitrarily high spatial resolution. Indeed, despite optical sensors, this capability is not just limited by the sensor technology. Instead, improving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2672b9885b2366eba1d2089cfe489edb
https://strathprints.strath.ac.uk/82242/1/Addabbo_etal_MetroAeroSpace_2022_Super_resolution_of_synthetic_aperture_radar_complex_data_by_deep_learning.pdf
https://strathprints.strath.ac.uk/82242/1/Addabbo_etal_MetroAeroSpace_2022_Super_resolution_of_synthetic_aperture_radar_complex_data_by_deep_learning.pdf
Autor:
Pia Addabbo, Diego Di Martire, Cesario Vincenzo Angelino, Silvia Liberata Ullo, Luca Cicala, Stefania Sica, N. Fiscante
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12:875-890
Dam monitoring represents a crucial issue in order to avoid catastrophic failures due to infrastructure aging or earthquake damages. Differential SAR Interferometry (DInSAR) is a technique suitable for critical infrastructure monitoring, also for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b628008f0488460beac4e3d43aece3c
https://doi.org/10.1109/jstars.2019.2896989
https://doi.org/10.1109/jstars.2019.2896989