The NEANIAS Space Research is focused on the co-design of three innovative services which are the SPACE-VIS: Data Management and Visualization, SPACE-MOS: Map Making and Mosaicing multidimensional images, and SPACE-ML: Structure detection with Machine Learning techniques in the Space environment for user-communities within R&D (Research and Development).
The service provides anadvanced operational solution for data management and visualization of astrophysics and planetary FAIR data based on widespread and popular tools like VisIVO, ADN, PlanetServer and ADAM. View more
The service provides functionalities for making high quality images from the raw data captured by instruments (map making) and for assembling those images into custom mosaics (mosaicing). View more
The service provides advanced solutions for pattern and structure detection in astronomical surveys as well as in planetary surface composition, topography and morphometry. The service includes tools such as CAESAR, CuTEx and VLFF and integrates cutting-edge Machine Learning algorithms to perform advanced classification for structures of sources in the sky or planetary surfaces to identify regions of interest. View more