The digital Earth Observation Librarian: a data mining approach for large satellite images archives

M Datcu, AC Grivei, D Espinoza-Molina… - Big Earth …, 2020 - Taylor & Francis
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 …

Data Mining and Knowledge Discovery tools for exploiting big Earth-Observation data

D Espinoza Molina, M Datcu - … Archives of the …, 2015 - isprs-archives.copernicus.org
The continuous increase in the size of the archives and in the variety and complexity of Earth-
Observation (EO) sensors require new methodologies and tools that allow the end-user to …

Data analytics using satellite remote sensing in healthcare applications

KI Lakhtaria, SS Iyer - Machine Learning and Data Mining in Aerospace …, 2020 - Springer
Water Management is the greatest challenge facing mankind. Satellites remote sensing can
be one of the most important sources of identifying and segregating lakes, rivers and …

The Earth Observation Image Librarian (EOLib): The Data Mining Component of the TerraSAR-X Payload Ground Segment

D Espinoza-Molina, V Manilici, C Dumitru… - Big Data from Space …, 2016 - elib.dlr.de
In this paper we present the Earth Observation Image Librarian (called EOLib) as a new
generation of Image Information Mining Systems. EOLib is operated in the Payload Ground …

Visual data mining for feature space exploration using in-situ data

D Espinoza-Molina, K Alonso… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
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 …