Human centered concepts for exploration and understanding of satellite images

The progress in information retrieval, computer vision and image analysis makes possible to establish very complete bases of algorithms and operators. A specialist in remote sensing or image processing has the tools now allowing him, at least in theory, to configure applications solving complex problems of image understanding. However, in reality, the Earth observation data analysis is still performed in a very laborious way at the end of repeated cycles of trial and error. To this end we propose a novel advanced remote sensing information processing system, based on human centered concepts, which implement new features and functions allowing improved feature extraction, search on a semantic level, the availability of collected knowledge, interactive knowledge discovery and new visual user interfaces.