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This paper discusses the basic paradigm of how image information mining methods work in the field of remote sensing. To this end, we compare our approaches to the approaches being used in the world of multimedia; then we discuss the annotation specifics of remote sensing data and describe the different types of remote sensing data that we are faced with today. We conclude with a description of algorithmic alternatives and compare several competing systems that are currently in use. Finally, we provide an outlook of what we expect in the near future.