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The paper presents an information theory approach for change detection, using Earth observation images. Correlation coefficient and Kullback-Leibler divergence are used as similarity measures allowing to find out where did change occur. Further, for an image characterization method, rate distortion theory is implemented to delimitate image complex regions,(More)
In natural hazards management applications Earth Observation (EO) image processing methods are based on segmentation and classification. The result primary consists of thematic maps which are readily interpretable. We propose a complete EO image processing chain, which generates an end product with increased information content organized in thematic layers.(More)
Nowadays the earth observation sensors provide images containing detailed information relevant for applications related to hazard or security matters. Unfortunately, image information mining, its interpretation and transformation in products useful to the rescue or decision teams is still a laborious task, effectuated many times by visual inspection and(More)
Nowadays the Earth Observation sensors provide images containing detailed information relevant for applications related to hazard or security matters. Unfortunately, the process of EO image analysis, interpretation and transformation in products useful to the rescue or decision teams is still a laborious task, effectuated many times by visual inspection and(More)
Base Image Retrieval approach. The results include detailed semantic categories for rapid mapping. Each data mining scenario includes three stages: Data Annotations, Data Query and Quantitative analysis of the results. In the end, based on query results, a semantic map of affected regions can be developed. In addition to the traditional approach the(More)