Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Emmanuel Bratsolis"'
Autor:
Ioannis Vernikos, Georgios Giannopoulos, Aikaterini Christopoulou, Anxhelo Begaj, Marianthi Stefouli, Emmanuel Bratsolis, Eleni Charou
Machine Learning (ML) algorithms had successfully contributed in the creation of automated methods of recognizing patterns in high-dimensional data. Remote sensing data covers wide geographical areas and could be used to solve the problem of the dema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9cec7678a37865a0abe27d7200fc309
https://doi.org/10.5194/egusphere-egu23-17570
https://doi.org/10.5194/egusphere-egu23-17570
Autor:
Antigoni Panagiotopoulou, Emmanuel Bratsolis, Lazaros Grammatikopoulos, Eleni Petsa, Eleni Charou, Konstantinos Poirazidis, Aristotelis Martinis, Nicholas Madamopoulos
Publikováno v:
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).
Autor:
Antigoni Panagiotopoulou, Eleni Charou, Konstantinos Poirazidis, Yorghos Voutos, Aristotelis Martinis, Lazaros Grammatikopoulos, Eleni Petsa, Emmanuel Bratsolis, Phivos Mylonas
Publikováno v:
25th Pan-Hellenic Conference on Informatics.
Autor:
Eleni Charou, Laurence Likforman-Sulem, Yorghos Voutos, Maria Koutsoukou, Phivos Mylonas, Antigoni Panagiotopoulou, George Felekis, Danai Bournou Stavroulopoulou, Emmanuel Bratsolis
Publikováno v:
IISA
Nowadays, governmental programs like ESA’s Copernicus provide freely available data that can be easily utilized for earth observation. In the present work, the problem of detecting agricultural and non-agricultural land cover is addressed. The meth
Autor:
Marianthi Stefouli, Nicholas Madamopoulos, Stavros Perantonis, Emmanuel Bratsolis, Antigoni Panagiotopoulou, Eleni Charou
Publikováno v:
ICIP
High-Resolution (HR) satellite images are a prerequisite in many applications such as astronomy, remote sensing, geoscience and geographical information systems, not only for providing better visualization but also for extracting extra information de
Artificial Neural Networks (ANN) are mathematical computing paradigms imitating the operations of biological neural systems. Their nonlinear nature and ability to learn from the environment make them highly suited to solve real-world problems from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::323735f98dd79c3ef4857be1602213df
Autor:
Bernard Schmitt, S. D. Wall, S. Philippe, Emmanuel Bratsolis, Christophe Sotin, S. Le Mouélic, Olivier Witasse, A. Solomonidou, Katrin Stephan, Rosaly M. C. Lopes, Charles Elachi, A. Le Gall, Jani Radebaugh, E. Villanueva, A. Anthony Bloom, M. Hirtzig, Robert H. Brown, Athena Coustenis, Kenneth J. Lawrence, Christos Matsoukas, Nicolas Altobelli, M. A. Janssen, Michael Malaska, Pierre Drossart, Sebastien Rodriguez, Jérémy F. Brossier, Ashley Schoenfeld
Publikováno v:
Journal of Geophysical Research. Planets
Journal of Geophysical Research. Planets, Wiley-Blackwell, 2018, 123 (2), pp.489-507. ⟨10.1002/2017JE005477⟩
Journal of Geophysical Research. Planets, 2018, 123 (2), pp.489-507. ⟨10.1002/2017JE005477⟩
Journal of Geophysical Research. Planets, Wiley-Blackwell, 2018, 123 (2), pp.489-507. ⟨10.1002/2017JE005477⟩
Journal of Geophysical Research. Planets, 2018, 123 (2), pp.489-507. ⟨10.1002/2017JE005477⟩
We investigate Titan's low‐latitude and midlatitude surface using spectro‐imaging near‐infrared data from Cassini/Visual and Infrared Mapping Spectrometer. We use a radiative transfer code to first evaluate atmospheric contributions and then ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dedd546f1f30545935a91e4ad621d29
https://hal-insu.archives-ouvertes.fr/insu-01696077
https://hal-insu.archives-ouvertes.fr/insu-01696077
Autor:
Th. D. Papadopoulou, N. Vassilas, S. Gyftakis, Eleni Charou, Emmanuel Bratsolis, T. Tsenoglou
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W3, Pp 1353-1357 (2015)
Urban density is an important factor for several fields, e.g. urban design, planning and land management. Modern remote sensors deliver ample information for the estimation of specific urban land classification classes (2D indicators), and the height
Autor:
R. M. C. Lopes, Sébastien Rodriguez, A. Coustenis, Jani Radebaugh, Michael J. Malaska, Bernard Schmitt, Emmanuel Bratsolis, Robert H. Brown, Christos Matsoukas, Anezina Solomonidou, Pierre Drossart
Publikováno v:
Geological Society of America Abstracts with Programs.
Autor:
Nicholas Madamopoulos, Marianthi Stefouli, Eleni Charou, Panagiota Spastra, Emmanuel Bratsolis, Antigoni Panagiotopoulou, Stavros Perantonis
Publikováno v:
International Journal of Mining and Mineral Engineering. 10:131
A methodology for monitoring and mapping lignite mining areas using Sentinel-1 and Sentinel-2 ESA Copernicus satellite systems is presented. A stochastic regularised super-resolution reconstruction (SRSR) for the enhancement of the Sentinel-2 optical