A review of EO image information mining

• Published in: ISPRS journal of photogrammetry and remote sensing Vol. 75; pp. 11 - 28
• Main Authors: Quartulli, Marco, G. Olaizola, Igor
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.01.2013; Elsevier
• Subjects: Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; Content-based image retrieval; Data mining; Earth sciences; Earth system science; Earth, ocean, space; EO mining; Exact sciences and technology; Feature extraction; Focusing; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; image analysis; Indexing; Information retrieval; Internal geophysics; Remote sensing; research projects; Retrieval; Semantics; State of the art; Teledetection and vegetation maps; Information retrieval; Databases; Content-based image retrieval; Remote sensing; EO mining; synthesis; Introduced species; remote sensing; mining; extraction; Image; Earth; solution; data bases; Mining industry
• ISSN: 0924-2716; 1872-8235
• DOI: 10.1016/j.isprsjprs.2012.09.010

We analyze the state of the art of content-based retrieval in Earth observation image archives focusing on complete systems showing promise for operational implementation. The different paradigms at the basis of the main system families are introduced. The approaches taken are considered, focusing in particular on the phases after primitive feature extraction. The solutions envisaged for the issues related to feature simplification and synthesis, indexing, semantic labeling are reviewed. The methodologies for query specification and execution are evaluated. Conclusions are drawn on the state of published research in Earth observation (EO) mining.