Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Roberto del Prete"'
Autor:
Nicolas Longepe, Isabella Petrelli, Nika Oman Kadunc, Devis Peressutti, Roberto Del Prete, Mauro Casaburi, Irina Babkina, Nathan Vercruyssen, Elisa Callejo Luis, Alvaro Moron, Valentina Marchese, Agne Paskeviciute Kidron, Nicola Melega
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17651-17665 (2024)
Over the past decade, there has been a rapid acceleration in the development of Artificial Intelligence (AI) for Earth Observation (EO), driven by the exponential growth in collected data and advances in algorithms and computing. This revolution exte
Externí odkaz:
https://doaj.org/article/c80fa15de12d4fdd90cca5edafa23de5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16467-16475 (2024)
Band selection is a key strategy to address the challenges of managing large hyperspectral datasets and reduce the dimensionality problem associated with the simultaneous analysis of hundreds of spectral bands. However, the computational complexity o
Externí odkaz:
https://doaj.org/article/e973056cd6164846bec8d2284ee7f4ad
Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence
Autor:
Gabriele Meoni, Roberto Del Prete, Federico Serva, Alix De Beusscher, Olivier Colin, Nicolas Longepe
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12521-12537 (2024)
Nowadays, there is growing interest in applying artificial intelligence (AI) on board Earth observation (EO) satellites for time-critical applications, such as natural disaster response. However, the unavailability of raw satellite data currently hin
Externí odkaz:
https://doaj.org/article/bbe9d795ee9b4fbb95b6685dc4ba9b7e
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1582 (2023)
In the framework of maritime surveillance, vessel detection techniques based on spaceborne synthetic aperture radar (SAR) images have promoted extensive applications for the effective understanding of unlawful activities at sea. This paper deals with
Externí odkaz:
https://doaj.org/article/3827ae69f0ae4ff382870f6bf5bdc45b
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4573 (2021)
Spaceborne synthetic aperture radar (SAR) represents a powerful source of data for enhancing maritime domain awareness (MDA). Wakes generated by traveling vessels hold a crucial role in MDA since they can be exploited both for ship route and velocity
Externí odkaz:
https://doaj.org/article/4115cbd9e98440b0ae9aa430778c4cdd
Autor:
Roberto Del Prete, Alfredo Renga
Publikováno v:
Aerotecnica Missili & Spazio. 101:335-349
In the framework of autonomous spacecraft navigation, this manuscript proposes a novel vision-based terrain relative navigation (TRN) system called FederNet. The developed system exploits a pattern of observed craters to perform an absolute position
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08180a7726b29a72badfbcda9c9a00b9
https://doi.org/10.1007/s42496-022-00139-0
https://doi.org/10.1007/s42496-022-00139-0
Publikováno v:
Remote Sensing; Volume 15; Issue 6; Pages: 1582
In the framework of maritime surveillance, vessel detection techniques based on spaceborne synthetic aperture radar (SAR) images have promoted extensive applications for the effective understanding of unlawful activities at sea. This paper deals with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09b51c81e871c88a08f94b8e9e00eb70
In the framework of maritime surveillance, vessel detection techniques based on spaceborne Synthetic Aperture Radar (SAR) images have promoted extensive applications for the effective understanding of unlawful activities at sea. The paper deal with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dfac9dad2f265895a738de3ac703a22
Autor:
Carla Cicala, Chiara Abbundo, Stefano Cannavacciuolo, Maria Daniela Graziano, Valerio Striano, Roberto Del Prete
Publikováno v:
2022 IEEE 9th International Workshop on Metrology for AeroSpace (MetroAeroSpace).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0e7d6aaa0cddd9e5731d08fea1868bd
https://doi.org/10.1109/metroaerospace54187.2022.9856195
https://doi.org/10.1109/metroaerospace54187.2022.9856195
The paper proposes the use of Cascade Mask R-CNN for the detection of craters from monocular images. Crater detection is a challenging task being the images prone to changes in lighting and noise conditions. Besides, the crater appearance is strongly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffacf435d1c58f8125c304e279548ae8
https://hdl.handle.net/11588/911410
https://hdl.handle.net/11588/911410