PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Self-organizing map application for retrieval of man-made structures in remote sensing data
Matthieu Molinier, Jorma Laaksonen, Jussi Ahola and Tuomas Häme
In: ESA-EUSC 2005: Image Information Mining - Theory and Application to Earth Observation, 5-7 Oct 2005, Frascati, Italy.

Abstract

Self-Organizing Maps (SOMs) have been successfully applied to content-based image retrieval (CBIR). In this study, we investigate the potential of PicSOM, an image database browsing system, applied to remote sensing images. Databases of small images were artificially created, either from a single satellite image for object detection, or two satellite images when considering change detection. By visually querying those databases, it was possible to detect targets like houses, roads or man-made structures, as well as changes between two QuickBird images. Preliminary results were encouraging, and open a full range of applications, from structure detection to change detection, to be embedded in a same operative system.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Machine Vision
User Modelling for Computer Human Interaction
Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:1732
Deposited By:Jorma Laaksonen
Deposited On:28 November 2005