Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Marmanis Dimitrios"'
Autor:
Marmanis Dimitrios, Thysiadou Anna, Marmani Ioanna, Fantidis Jacob G., Kalogiannis Achilleas, Diamantis Vasileios
Publikováno v:
E3S Web of Conferences, Vol 551, p 01007 (2024)
Electrochemical processes combined with renewable energy sources are considered sustainable and efficient for wastewater treatment. The combined photovoltaic – electrochemical (PV-EC) method can produce electrolytic hydrogen and purify industrial w
Externí odkaz:
https://doaj.org/article/746fd87c7611406dab060c65e8bd80cb
Autor:
Marmanis, Dimitrios, Yao, Wei, Adam, Fathalrahman, Datcu, Mihai, Reinartz, Peter, Schindler, Konrad, Wegner, Jan Dirk, Stilla, Uwe
Very High Spatial Resolution (VHSR) large-scale SAR image databases are still an unresolved issue in the Remote Sensing field. In this work, we propose such a dataset and use it to explore patch-based classification in urban and periurban areas, cons
Externí odkaz:
http://arxiv.org/abs/1711.02010
Autor:
Galliani, Silvano, Lanaras, Charis, Marmanis, Dimitrios, Baltsavias, Emmanuel, Schindler, Konrad
We describe a novel method for blind, single-image spectral super-resolution. While conventional super-resolution aims to increase the spatial resolution of an input image, our goal is to spectrally enhance the input, i.e., generate an image with the
Externí odkaz:
http://arxiv.org/abs/1703.09470
Autor:
Marmanis, Dimitrios, Schindler, Konrad, Wegner, Jan Dirk, Galliani, Silvano, Datcu, Mihai, Stilla, Uwe
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing, Volume 135, January 2018, Pages 158-172, ISSN 0924-2716, https://doi.org/10.1016/j.isprsjprs.2017.11.009
We present an end-to-end trainable deep convolutional neural network (DCNN) for semantic segmentation with built-in awareness of semantically meaningful boundaries. Semantic segmentation is a fundamental remote sensing task, and most state-of-the-art
Externí odkaz:
http://arxiv.org/abs/1612.01337
Semantic segmentation for synthetic aperture radar (SAR) imagery is a rarely touched area, due to the specific image characteristics of SAR images. In this research, we propose a dataset which consists of three data sources: TerraSAR-X images, Google
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1640::86c31ddd7efae2e9625d0ee65f945a22
https://elib.dlr.de/117829/
https://elib.dlr.de/117829/
Akademický článek
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