Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Gabriele Meoni"'
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
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17398-17411 (2024)
The next generation of spacecraft technology is anticipated to enable novel applications, including onboard processing, machine learning, and decentralized operational scenarios. Although several of these applications have been previously investigate
Externí odkaz:
https://doaj.org/article/5d4c4d88cfc54426bf3c58f9ed68f51c
Autor:
Francesca Razzano, Pietro Di Stasio, Francesco Mauro, Gabriele Meoni, Marco Esposito, Gilda Schirinzi, Silvia Liberata Ullo
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16755-16766 (2024)
Differently from conventional procedures, the proposed solution advocates for a groundbreaking paradigm in water quality monitoring through the integration of satellite Remote Sensing data, Artificial Intelligence techniques, and onboard processing.
Externí odkaz:
https://doaj.org/article/a6774e8d36734a788c4b86632a9566ef
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
Autor:
Pablo Gomez, Gabriele Meoni
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11643-11654 (2021)
Supervised learning techniques are at the center of many tasks in remote sensing. Unfortunately, these methods, especially recent deep learning methods, often require large amounts of labeled data for training. Even though satellites acquire large am
Externí odkaz:
https://doaj.org/article/9e2ab79646164b8dbff0a9b6431248bb
Publikováno v:
EAI Endorsed Transactions on Ambient Systems, Vol 3, Iss 13, Pp 1-7 (2017)
In the last few years power wheelchairs have been becoming the only device able to provide autonomy and independence to people with motor skill impairments. In particular, many power wheelchairs feature robotic arms for gesture emulation, like the in
Externí odkaz:
https://doaj.org/article/3cacb926882149fb9703f61a906042e9
Publikováno v:
International Journal of Reconfigurable Computing, Vol 2019 (2019)
During the last years, convolutional neural networks have been used for different applications, thanks to their potentiality to carry out tasks by using a reduced number of parameters when compared with other deep learning approaches. However, power
Externí odkaz:
https://doaj.org/article/a5ebc8fe8f2742efa49f2c4da9cd49ab
Autor:
Emilio Rapuano, Gabriele Meoni, Tommaso Pacini, Gianmarco Dinelli, Gianluca Furano, Gianluca Giuffrida, Luca Fanucci
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1518 (2021)
In recent years, research in the space community has shown a growing interest in Artificial Intelligence (AI), mostly driven by systems miniaturization and commercial competition. In particular, the application of Deep Learning (DL) techniques on boa
Externí odkaz:
https://doaj.org/article/5452cd2b05874e2c8294f1ef6fe9f828
Autor:
Gianluca Giuffrida, Lorenzo Diana, Francesco de Gioia, Gionata Benelli, Gabriele Meoni, Massimiliano Donati, Luca Fanucci
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2205 (2020)
The increasing demand for high-resolution hyperspectral images from nano and microsatellites conflicts with the strict bandwidth constraints for downlink transmission. A possible approach to mitigate this problem consists in reducing the amount of da
Externí odkaz:
https://doaj.org/article/7682fe0375e6432a8e6ab1153b89b7f0
Publikováno v:
Sensors, Vol 20, Iss 14, p 4041 (2020)
Individual spacecraft manual navigation by human operators from ground station is expected to be an emerging problem as the number of spacecraft for space exploration increases. Hence, as an attempt to reduce the burden to control multiple spacecraft
Externí odkaz:
https://doaj.org/article/3473498ce36642448e467ca81124a066