Visual Exploration & Semantic
The cluster aims to use and enhance visualization technologies to better exploit multidimensional EO and Earth science data in order to support the scientific analysis and the public outreach of achievements of ECoE. Visual exploration allows interactive data presentation in order to increase users’ capabilities to understand the information content of large data sets of images and extract meaningful, relevant semantic clusters, together with quantitative measurements presented in a suggestive, visual way. Visual exploration provides a preliminary insight into optical or radar data by revealing its semantic structure and quantitative estimations regarding the structure through simple visual representations. The benefit of the technique is that the end-user can make more informed decisions on the feasibility of the desired image processing. 3D visualization techniques provide capabilities for visual analytics of geospatial and time series data and building Augmented Reality application, by using state of the art technologies, thereby enabling flexible and fast interactive visualisation of big multidimensional spatial data through linked views.