An Innovative Concept for Image Information Mining

The image archives are heterogeneous, huge data repositories, they are high complexity sources of valuable information, e.g. the Earth Observation data archives contain millions of optical, radar and other types of images and data. The exploration of their content is not an easy task. Among the promising methods proposed in the last years are the methods of data and information mining. However, accessing the image information content, in comparison with other data types, is rising higher complexity problems, residing mainly in the huge volume of data, the rich information content, and the subjectivity of the user interpretation. The present article makes an analysis of the Image Information Mining methods seen as an information transmission problem: the source of information is an image archive, the receiver is the community of users