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Self-organizing map application for retrieval of man-made structures in remote sensing data

Proceedings article published in 2006 by Matthieu Molinier ORCID, Jorma Laaksonen, Jussi Ahola, Tuomas Häme
This paper is available in a repository.
This paper is available in a repository.

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Preprint: policy unknown
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Postprint: policy unknown
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Published version: policy unknown

Abstract

WPP-257 Proceedings (on CD) ; 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 ; ESA-EUSC Workshop on Image Information Mining - Theory and Applications to Earth Observation,Frascati, Italy, 5-7 October 2005