Zobrazeno 1 - 10
of 25
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
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
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
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/
Autor:
Daniela Espinoza-Molina, Mihai Datcu
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 51:5145-5159
Advances in the image retrieval (IR) field have contributed to the elaboration of tools for interactive exploration and extraction of the images from huge archives associating the content of the images with semantic meaning. This paper presents an Ea
Autor:
Daniela Espinoza Molina, Mihai Datcu
Publikováno v:
SPIE Proceedings.
With the new planned Sentinel missions, the availability of Earth Observation data is increasing everyday offering a larger number of applications that can be created using these data. Currently, three of the five missions were launched and they are
Autor:
Daniela Espinoza-Molina, Mihai Datcu
Typical applications based on remote sensing imagery start with a visual inspection and selection of scenes and regions of interest to be purchased. In this letter, we propose a so-called Earth observation (EO) epitome as a novel value-added interact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dc016cfa192c63cd827bd599860530d
https://elib.dlr.de/107906/
https://elib.dlr.de/107906/
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
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