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

Fingerprint

Satellite imagery
Self organizing maps
Image retrieval
satellite imagery
Remote sensing
Satellites
Monitoring
remote sensing
detection
monitoring

Keywords

  • Change detection
  • Self-Organizing Maps

Cite this

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
Molinier, Matthieu ; Laaksonen, Jorma ; Häme, Tuomas. / A self-organizing map framework for detection of man-made structures and changes in satellite imagery. 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. 2006. pp. 53 - 56
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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., 4241152, pp. 53 - 56, 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Denver, CO, United States, 31/07/06. https://doi.org/10.1109/IGARSS.2006.5

A self-organizing map framework for detection of man-made structures and changes in satellite imagery. / Molinier, Matthieu; Laaksonen, Jorma; Häme, Tuomas.

2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. 2006. p. 53 - 56 4241152.

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

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Molinier M, Laaksonen J, Häme T. 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. 2006. p. 53 - 56. 4241152 https://doi.org/10.1109/IGARSS.2006.5