Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Senaras, Caglar"'
RapidAI4EO: Mono- and Multi-temporal Deep Learning models for Updating the CORINE Land Cover Product
Autor:
Bhugra, Priyash, Bischke, Benjamin, Werner, Christoph, Syrnicki, Robert, Packbier, Carolin, Helber, Patrick, Senaras, Caglar, Rana, Akhil Singh, Davis, Tim, De Keersmaecker, Wanda, Zanaga, Daniele, Wania, Annett, Van De Kerchove, Ruben, Marchisio, Giovanni
In the remote sensing community, Land Use Land Cover (LULC) classification with satellite imagery is a main focus of current research activities. Accurate and appropriate LULC classification, however, continues to be a challenging task. In this paper
Externí odkaz:
http://arxiv.org/abs/2210.14624
Autor:
Toker, Aysim, Kondmann, Lukas, Weber, Mark, Eisenberger, Marvin, Camero, Andrés, Hu, Jingliang, Hoderlein, Ariadna Pregel, Şenaras, Çağlar, Davis, Timothy, Cremers, Daniel, Marchisio, Giovanni, Zhu, Xiao Xiang, Leal-Taixé, Laura
Earth observation is a fundamental tool for monitoring the evolution of land use in specific areas of interest. Observing and precisely defining change, in this context, requires both time-series data and pixel-wise segmentations. To that end, we pro
Externí odkaz:
http://arxiv.org/abs/2203.12560
Autor:
Senaras, Caglar1 (AUTHOR) caglar.senaras@planet.com, Grady, Maddie1 (AUTHOR) piers@planet.com, Rana, Akhil Singh1 (AUTHOR) annett@planet.com, Nieto, Luciana2 (AUTHOR) luciananieto@icloud.com, Ciampitti, Ignacio3 (AUTHOR) ciampitti@ksu.edu, Holden, Piers1 (AUTHOR), Davis, Timothy1 (AUTHOR), Wania, Annett1 (AUTHOR)
Publikováno v:
Remote Sensing. Aug2024, Vol. 16 Issue 15, p2730. 25p.
Autor:
Marchisio, Giovanni, Helber, Patrick, Bischke, Benjamin, Davis, Timothy, Senaras, Caglar, Zanaga, Daniele, Van De Kerchove, Ruben, Wania, Annett
Under the sponsorship of the European Union Horizon 2020 program, RapidAI4EO will establish the foundations for the next generation of Copernicus Land Monitoring Service (CLMS) products. The project aims to provide intensified monitoring of Land Use
Externí odkaz:
http://arxiv.org/abs/2110.01919
Autor:
Senaras, Caglar
The aim of this study is to develop an automated model to extract buildings from aerial images. The fuzzy k-NN classification method is used to extract the buildings by using color information. Also in the thesis, the advantages of the relevance feed
Externí odkaz:
http://etd.lib.metu.edu.tr/upload/12608853/index.pdf
Autor:
Bruzzone, Lorenzo, Bovolo, Francesca, Francis, Alistair, Marszalek, Michael, Wheeler, James, Senaras, Caglar, Davis, Timothy, Wania, Annett
Publikováno v:
Proceedings of SPIE; October 2023, Vol. 12733 Issue: 1 p127330F-127330F-12, 12605683p
Autor:
Senaras, Caglar1 caglarsenaras@gmail.com, Niazi, M. Khalid Khan1, Lozanski, Gerard2, Gurcan, Metin N.1
Publikováno v:
PLoS ONE. 10/25/2018, Vol. 13 Issue 10, p1-13. 13p.
Autor:
Niazi, Muhammad Khalid Khan1,2 mniazi@wakehealth.edu, Senaras, Caglar1 csenaras@wakehealth.edu, Pennell, Michael3 pennell.28@osu.edu, Arole, Vidya4 Vidya.Arole@osumc.edu, Tozbikian, Gary5 Gary.Tozbikian@osumc.edu, Gurcan, Metin N.1 MGurcan@wakehealth.edu
Publikováno v:
BMC Cancer. 9/3/2018, Vol. 18 Issue 1, p1-9. 9p. 2 Color Photographs, 2 Charts, 5 Graphs.
Autor:
Senaras, Caglar1 csenaras@wakehealth.edu, Niazi, Muhammad Khalid Khan1, Sahiner, Berkman2, Pennell, Michael P.3, Tozbikian, Gary4, Lozanski, Gerard4, Gurcan, Metin N.1
Publikováno v:
PLoS ONE. 5/9/2018, Vol. 13 Issue 5, p1-12. 12p.
Autor:
Francis, Alistair, Marszalek, Michael, Wheeler, James, Senaras, Caglar, Davis, Timothy, Wania, Annett
Publikováno v:
Proceedings of SPIE; 12/2/2023, Vol. 12733, p127330F-127330F-12, 1p