Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Pierre-Philippe Mathieu"'
Autor:
Rochelle Schneider, Massimo Bonavita, Alan Geer, Rossella Arcucci, Peter Dueben, Claudia Vitolo, Bertrand Le Saux, Begüm Demir, Pierre-Philippe Mathieu
Publikováno v:
npj Climate and Atmospheric Science, Vol 5, Iss 1, Pp 1-5 (2022)
Abstract This paper provides a short summary of the outcomes of the workshop on Machine Learning (ML) for Earth System Observation and Prediction (ESOP / ML4ESOP) organised by the European Space Agency (ESA) and the European Centre for Medium-Range W
Externí odkaz:
https://doaj.org/article/9e2191ce556d42fcaa85a05299937592
Autor:
Pierre-Philippe Mathieu
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 4, Iss 3, Pp 1569-1583 (2015)
This paper describes how Earth Observation (EO) data—in particular from satellites—can support climate science, monitoring, and services by delivering global, repetitive, consistent, and timely information on the state of the environment and its
Externí odkaz:
https://doaj.org/article/e41623df0e4144009fc4c27734410b2d
Autor:
Gonzalo Mateo-Garcia, Josh Veitch-Michaelis, Cormac Purcell, Nicolas Longepe, Simon Reid, Alice Anlind, Fredrik Bruhn, James Parr, Pierre Philippe Mathieu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Cognitive cloud computing in space (3CS) describes a new frontier of space innovation powered by Artificial Intelligence, enabling an explosion of new applications in observing our planet and enabling deep space exploration. In this framewor
Externí odkaz:
https://doaj.org/article/0832fa44e7ab498b9e3a225a0baaf078
This book is published open access under a CC BY 4.0 license.Over the past decades, rapid developments in digital and sensing technologies, such as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital
Autor:
Alessandro Sebastianelli, Erika Puglisi, Maria Pia Del Rosso, Jamila Mifdal, Artur Nowakowski, Pierre Philippe Mathieu, Fiora Pirri, Silvia Liberata Ullo
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2b616623b74824a009f29568cb62f49
https://doi.org/10.1109/tgrs.2022.3208694
https://doi.org/10.1109/tgrs.2022.3208694
Publikováno v:
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::067838db112bc7436955a657d2862488
https://doi.org/10.1109/metroxraine54828.2022.9967539
https://doi.org/10.1109/metroxraine54828.2022.9967539
Earth observation is fundamental for a range of human activities including flood response as it offers vital information to decision makers. Semantic segmentation plays a key role in mapping the raw hyper-spectral data coming from the satellites into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ae2c90f34d446e5f4adf9f1ab4f086
Autor:
Pierre Philippe Mathieu
Publikováno v:
Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation ISBN: 9781839532122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fee080cda3f7e1f36df4083e9142d19
https://doi.org/10.1049/pbte098e_ch1
https://doi.org/10.1049/pbte098e_ch1
Autor:
Dario Spiller, Silvia Liberata Ullo, Pierre Philippe Mathieu, Alessandro Sebastianelli, Maria Pia Del Rosso
Publikováno v:
Remote Sensing, Vol 13, Iss 3479, p 3479 (2021)
In recent years, the growth of Machine Learning (ML) algorithms has raised the number of studies including their applicability in a variety of different scenarios. Among all, one of the hardest ones is the aerospace, due to its peculiar physical requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43fc2e03b64c6fdb72e327748f18a193
https://www.mdpi.com/2072-4292/13/17/3479
https://www.mdpi.com/2072-4292/13/17/3479
Over the last few years, wildfires have become more severe and destructive, having extreme consequences on local and global ecosystems. Fire detection and accurate monitoring of risk areas is becoming increasingly important. Satellite remote sensing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b222ebda505f358fe31901d97e38092
https://doi.org/10.5194/egusphere-egu21-12330
https://doi.org/10.5194/egusphere-egu21-12330