Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Daniela Espinoza-Molina"'
Autor:
Mihai Datcu, Alexandru-Cosmin Grivei, Daniela Espinoza-Molina, Corneliu Octavian Dumitru, Christoph Reck, Vlad Manilici, Gottfried Schwarz
Publikováno v:
Big Earth Data, Vol 4, Iss 3, Pp 265-294 (2020)
Throughout the years, various Earth Observation (EO) satellites have generated huge amounts of data. The extraction of latent information in the data repositories is not a trivial task. New methodologies and tools, being capable of handling the size,
Externí odkaz:
https://doaj.org/article/0274c86eabbf4851bbf43ac8028f1a3d
Publikováno v:
593 Digital Publisher CEIT. 7:144-156
Antes del efecto producido por la pandemia, los estudiantes y profesores empleaban su tiempo en línea, en gran medida para socializar. Tenían sus propios espacios de aprendizaje, de forma tal que pudieran desarrollar sus conocimientos independiente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49fcba74fd549f264661adfe27c25767
https://doi.org/10.33386/593dp.2022.4-2.1226
https://doi.org/10.33386/593dp.2022.4-2.1226
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:791-801
The constantly growing process of the Earth Observation (EO) data and their heterogeneity require new systems and tools for effectively querying and understanding the available data archives. In this paper, we present a tool for heterogeneous geospat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49fe22fdd17d986b6743d43dc0bde104
https://doi.org/10.1109/jstars.2017.2649040
https://doi.org/10.1109/jstars.2017.2649040
Autor:
Reza Bahmanyar, Javier Bustamante, Mihai Datcu, Daniela Espinoza-Molina, Ricardo Díaz-Delgado
Publikováno v:
IGARSS
An effective monitoring and analysis of ecosystems requires developing new tools and knowledge. In this paper, we propose an approach for detecting land-cover changes using satellite Image Time Series. This approach represents each image by spectral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2551ca0877e09c19ec44100de99f15f8
https://doi.org/10.1109/igarss.2017.8127358
https://doi.org/10.1109/igarss.2017.8127358
Autor:
Javier Bustamante, Mihai Datcu, Reza Bahmanyar, Ricardo Díaz-Delgado, Daniela Espinoza-Molina
Publikováno v:
MultiTemp
Satellite Image Time Series (SITS) are widely used in monitoring the Earth’s changes for various applications such as land-cover evolution analysis. In this paper, we propose an approach based on Latent Dirichlet Allocation (LDA) which considers sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa877f969f141d6217027593dca390f9
https://elib.dlr.de/112926/
https://elib.dlr.de/112926/
Publikováno v:
IGARSS
In this paper, we present the visualization of image databases based on their primitive features. Our approach is to have a visual navigation tool for allowing the exploration and exploitation of large image archives. The tool is able to project the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b01bd45bf871d79d216a1ef05871ec64
https://doi.org/10.1109/igarss.2016.7730543
https://doi.org/10.1109/igarss.2016.7730543
Publikováno v:
SAR
With the continuous image product acquisition of satellite missions, the size of the image archives is considerably increasing every day as well as the variety and complexity of their content, surpassing the end-user capacity to analyse and exploit t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5cb3a0a78473288932dd470fabe190c
https://doi.org/10.1117/12.2197588
https://doi.org/10.1117/12.2197588
Publikováno v:
IGARSS
In this paper we present the LUCAS Visual Browser system, a tool for land cover visual analytics. The system implements different web technologies in a multilayer server-client architecture in order to allow the user to visually analyse land cover he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::083ff22cc4e13a58ff81786e0155f50f
https://elib.dlr.de/96515/
https://elib.dlr.de/96515/
Autor:
Daniela Espinoza-Molina, Manolis Koubarakis, Charalampos Nikolaou, Corneliu Octavian Dumitru, Gottfried Schwarz, Konstantina Bereta, Mihai Datcu
In this paper, we deal with the integration of multiple sources of information such as Earth observation (EO) synthetic aperture radar (SAR) images and their metadata, semantic descriptors of the image content, as well as other publicly available geo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba76c316185a6660c777882813448f7f
https://doi.org/10.1109/jstars.2014.2371138
https://doi.org/10.1109/jstars.2014.2371138
Publikováno v:
IGARSS
The latest generation of synthetic aperture radar (SAR) instruments operating in X-band, that is, COSMO-SkyMed (CSK) and TerraSAR-X (TSX), are capable of providing images from coarse resolution to very high resolution. A lot of research effort has be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb71c832009686f8f3f301993a6876e9
https://doi.org/10.1109/igarss.2014.6947549
https://doi.org/10.1109/igarss.2014.6947549