A self-organizing map framework for detection of man-made structures and changes in satellite imagery

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Content-based querying allows efficient retrieval of images based on the information they contain, rather than acquisition date or geographical extent. We extend the potential of a content-based image retrieval (CBIR) system based on Self-Organizing Maps (SOMs), to the analysis of remote sensing data. A database was artificially created by splitting each satellite image to be analyzed into small images. After training the CBIR system on this imagelet database, both interactive and off-line queries were made to detect man-made structures, as well as changes. Experimental results suggest that this new approach is suitable for analyzing very high-resolution optical satellite imagery. Possible applications include interactive detection of man-made structures and supervised monitoring of sensitive sites.

Original languageEnglish
Title of host publication2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Pages53 - 56
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2006
MoE publication typeA4 Article in a conference publication
Event2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS - Denver, CO, United States
Duration: 31 Jul 20064 Aug 2006

Conference

Conference2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
CountryUnited States
CityDenver, CO
Period31/07/064/08/06

Keywords

  • Change detection
  • Self-Organizing Maps

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    Molinier, M., Laaksonen, J., & Häme, T. (2006). A self-organizing map framework for detection of man-made structures and changes in satellite imagery. In 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS (pp. 53 - 56). [4241152] https://doi.org/10.1109/IGARSS.2006.5