Image Classification and Indexing Using Data Compression Based Techniques

This paper proposes complexity based analysis as a valid alternative to classic image analysis methodologies for Earth Observation imagery, which are heavily dependant on the assumed data models. These methods are totally model-free and data-driven, and may be successfully employed for image classification and indexing, regardless of spatial and radiometric resolution of the scene and sensor type.