Zobrazeno 1 - 10
of 241
pro vyhledávání: '"Gaetano Raffaele"'
Publikováno v:
ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania
Semi-supervised domain adaptation methods leverage information from a source labelled domain with the goal of generalizing over a scarcely labelled target domain. While this setting already poses challenges due to potential distribution shifts betwee
Externí odkaz:
http://arxiv.org/abs/2406.14087
Timely up-to-date land use/land cover (LULC) maps play a pivotal role in supporting agricultural territory management, environmental monitoring and facilitating well-informed and sustainable decision-making. Typically, when creating a land cover (LC)
Externí odkaz:
http://arxiv.org/abs/2404.11114
Publikováno v:
Data in Brief, Vol 31, Iss , Pp 105952- (2020)
We describe a reference spatial database and four land use maps of Antananarivo city produced over 2017 reference year using a methodology combining machine learning and object based image analysis (OBIA). These maps are produced by processing satell
Externí odkaz:
https://doaj.org/article/f1f75a90018041e08901be742ad60ba9
Autor:
Cresson, Rémi, Narçon, Nicolas, Gaetano, Raffaele, Dupuis, Aurore, Tanguy, Yannick, May, Stéphane, Commandre, Benjamin
With the increasing availability of optical and synthetic aperture radar (SAR) images thanks to the Sentinel constellation, and the explosion of deep learning, new methods have emerged in recent years to tackle the reconstruction of optical images th
Externí odkaz:
http://arxiv.org/abs/2204.00424
Publikováno v:
In Neurocomputing 28 January 2024 567
Nowadays, modern Earth Observation systems continuously collect massive amounts of satellite information. The unprecedented possibility to acquire high resolution Satellite Image Time Series (SITS) data (series of images with high revisit time period
Externí odkaz:
http://arxiv.org/abs/2004.14672
Autor:
Gbodjo, Yawogan Jean Eudes, Ienco, Dino, Leroux, Louise, Interdonato, Roberto, Gaetano, Raffaele, Ndao, Babacar, Dupuy, Stephane
European satellite missions Sentinel-1 (S1) and Sentinel-2 (S2) provide at highspatial resolution and high revisit time, respectively, radar and optical imagesthat support a wide range of Earth surface monitoring tasks such as LandUse/Land Cover mapp
Externí odkaz:
http://arxiv.org/abs/1911.08815
Recurrent Neural Networks (RNNs) can be seriously impacted by the initial parameters assignment, which may result in poor generalization performances on new unseen data. With the objective to tackle this crucial issue, in the context of RNN based cla
Externí odkaz:
http://arxiv.org/abs/1911.01071
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation August 2023 122
Akademický článek
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