Region-based CBIR in GIS with local space filling curves to spatial representation

Authors:
Adel Hafiane;Subhasis Chaudhuri;Guna Seetharaman;Bertrand Zavidovique
Affiliations:
Institut d'Electronique Fondamentale, Université de Paris-Sud 11, Bít 220, 91405 Orsay Cedex, France;Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai 400 076, India;Department of Electrical and Computer Engineering, Air Force Institute of Technology, Wright-Patterson AFB, OH 45433-7765, USA;Institut d'Electronique Fondamentale, Université de Paris-Sud 11, Bít 220, 91405 Orsay Cedex, France
Venue:
Pattern Recognition Letters - Special issue: Pattern recognition in remote sensing (PRRS 2004)
Year:
2006

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Abstract

In this paper we present a region-based retrieval method for satellite images using motif co-occurrence matrix (MCM) in conjunction with spatial relationships. Each image is decomposed into coherent segments, MCM is computed for each region and the spatial relationship among them are evaluated by using a *-tree representation. The image is represented by an attributed relational graph (ARG) where nodes contain the visual feature (MCM) and edges represent spatial relationship. Principal component analysis show the usefulness of MCM as a feature.