Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Claudio Prati"'
Autor:
Gianluca Murdaca, Federico Ricciuti, Alessio Rucci, Bertrand Le Saux, Alfio Fumagalli, Claudio Prati
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5664 (2023)
Detecting and monitoring changes in open-pit mines is crucial for efficient mining operations. Indeed, these changes comprise a broad spectrum of activities that can often lead to significant environmental impacts such as surface damage, air pollutio
Externí odkaz:
https://doaj.org/article/a6b7371183e6442f86e9178328118bf6
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1644 (2023)
The paper proposes a flexible and efficient wavenumber domain processing scheme suited for close formations of low earth orbiting (LEO) synthetic aperture radar (SAR) sensors hosted on micro-satellites or CubeSats. Such systems aim to generate a high
Externí odkaz:
https://doaj.org/article/a3b0c0d147e941afaf9c273801c19b9b
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4956 (2022)
Interferometric Synthetic Aperture Radar (InSAR) data processing applications, such as deformation monitoring and topographic mapping, require an interferometric phase filtering step. Indeed, the filtering quality significantly impacts the deformatio
Externí odkaz:
https://doaj.org/article/ffb6f683664541f7bcae8a3d48f876e3
Autor:
Federico Raspini, Sandro Moretti, Alfio Fumagalli, Alessio Rucci, Fabrizio Novali, Alessandro Ferretti, Claudio Prati, Nicola Casagli
Publikováno v:
Remote Sensing, Vol 6, Iss 5, Pp 3988-4002 (2014)
On 13 January 2012, the Italian vessel, Costa Concordia, wrecked offshore Giglio Island, along the coast of Tuscany (Italy). The ship partially sunk, lying on the starboard side on a 22° steep rocky seabed, making the stability conditions of the shi
Externí odkaz:
https://doaj.org/article/a22d6341f88c43929e17a1f789270282
Autor:
Francesco Lattari, Borja Gonzalez Leon, Francesco Asaro, Alessio Rucci, Claudio Prati, Matteo Matteucci
Publikováno v:
Remote Sensing, Vol 11, Iss 13, p 1532 (2019)
Speckle filtering is an unavoidable step when dealing with applications that involve amplitude or intensity images acquired by coherent systems, such as Synthetic Aperture Radar (SAR). Speckle is a target-dependent phenomenon; thus, its estimation an
Externí odkaz:
https://doaj.org/article/0d4f2265e24146ed8f900327be9b4eba
Autor:
Stefano Tebaldini, Marco Rizzi, Marco Manzoni, Andrea Monti Guarnieri, Claudio Prati, Dario Tagliaferri, Monica Nicoli, Umberto Spagnolini, Ivan Russo, Christian Mazzucco
Publikováno v:
2022 Microwave Mediterranean Symposium (MMS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a64896a551a19a948ec4f4079e59f550
https://doi.org/10.1109/mms55062.2022.9825599
https://doi.org/10.1109/mms55062.2022.9825599
Autor:
Stefano Tebaldini, Marco Rizzi, Marco Manzoni, Andrea Monti Guarnieri, Claudio Prati, Dario Tagliaferri, Monica Nicoli, Umberto Spagnolini, Ivan Russo, Christian Mazzucco, Sergio Duque Biarge
Publikováno v:
2022 IEEE Radar Conference (RadarConf22).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41c1a3932f9829daf75040557d15a9ac
https://doi.org/10.1109/radarconf2248738.2022.9764234
https://doi.org/10.1109/radarconf2248738.2022.9764234
Publikováno v:
IGARSS
Today, one of the biggest challenges faced in the intersection of the Deep Learning (DL) and synthetic aperture RADAR (SAR) domains is the scarcity of precisely annotated datasets suitable for properly training a supervised algorithm. This paper show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::765a3963461cddefb3fbdbb5ccdc1a77
http://hdl.handle.net/11311/1183760
http://hdl.handle.net/11311/1183760
This work presents a methodology to improve supervised learning of segmentation tasks for convolutional architectures in unbalanced and weak labeled synthetic aperture radar (SAR) dataset scenarios, which characterize the Earth Observation (EO) domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a981f3b71040888a39b88dfc4631712
https://doi.org/10.5194/egusphere-egu21-11957
https://doi.org/10.5194/egusphere-egu21-11957
Autor:
Marco Rizzi, Monica Nicoli, Christian Mazzucco, Umberto Spagnolini, Dario Tagliaferri, Claudio Prati, I. Russo, Andrea Monti-Guarnieri, Stefano Tebaldini
With the raising interest in automated driving, onboard perception systems are required to perform a wide range of functionalities, from basic emergency braking to mapping of the surroundings. However, current automotive radars are known to suffer fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c73b2f51f91d92556ba650ef812b074d
http://hdl.handle.net/11311/1166687
http://hdl.handle.net/11311/1166687