Detecting changes in polarimetric SAR data with content-based image retrieval

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9 Citations (Scopus)

Abstract

In this study, we extended the potential of a Content-Based Image Retrieval (CBIR) system based on Self-Organizing Maps (SOMs), for the analysis of remote sensing data. A database was artificially created by splitting each image to be analyzed into small images (or imagelets). Content-based image retrieval was applied to fully Polarimetric airborne SAR data, using a selection of Polarimetric features. After training the system on this imagelet database, automatic queries could detect changes. Results were encouraging on airborne SAR data and may be more useful for spaceborne Polarimetric data.

Original languageEnglish
Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages2390-2393
Number of pages4
ISBN (Electronic)978-1-4244-1212-9
ISBN (Print)978-1-4244-1211-2
DOIs
Publication statusPublished - 1 Dec 2007
MoE publication typeA4 Article in a conference publication
Event2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain
Duration: 23 Jun 200728 Jun 2007

Conference

Conference2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Abbreviated titleIGARSS 2007
CountrySpain
CityBarcelona
Period23/06/0728/06/07

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Molinier, M., Laaksonen, J., Rauste, Y., & Häme, T. (2007). Detecting changes in polarimetric SAR data with content-based image retrieval. In 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 (pp. 2390-2393). [4423323] IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/IGARSS.2007.4423323