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Rapid Urban Mapping Using SAR/Optical Imagery Synergy

This paper highlights the potential of combining Synthetic Aperture Radar (SAR) and optical data for operational rapid urban mapping. An algorithm consisting of a completely unsupervised procedure for processing pairs of co-registered SAR/optical images is proposed. In a first stage, a texture analy...

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Detalles Bibliográficos
Autores principales: Corbane, Christina, Faure, Jean-François, Baghdadi, Nicolas, Villeneuve, Nicolas, Petit, Michel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787435/
https://www.ncbi.nlm.nih.gov/pubmed/27873921
http://dx.doi.org/10.3390/s8117125
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author Corbane, Christina
Faure, Jean-François
Baghdadi, Nicolas
Villeneuve, Nicolas
Petit, Michel
author_facet Corbane, Christina
Faure, Jean-François
Baghdadi, Nicolas
Villeneuve, Nicolas
Petit, Michel
author_sort Corbane, Christina
collection PubMed
description This paper highlights the potential of combining Synthetic Aperture Radar (SAR) and optical data for operational rapid urban mapping. An algorithm consisting of a completely unsupervised procedure for processing pairs of co-registered SAR/optical images is proposed. In a first stage, a texture analysis is conducted independently on the two images using eight different chain-based Gaussian models. In a second stage, the resulting texture images are partitioned by an unsupervised fuzzy K-means approach. Finally, a fuzzy decision rule is used to aggregate the results provided by the classification of texture images obtained from the pair of SAR and optical images. The method was tested and validated on images of Bucharest (Romania) and Cayenne (French Guiana). These two study areas are of different terrain relief, urban settlement structure and land cover complexity. The data set included Radarsat-1/ENVISAT and SPOT-4/5 images. The developed SAR/optical information fusion scheme improved the capabilities of urban areas extraction when compared with the separate use of SAR and optical sensors. It also proved to be suitable for monitoring urbanization development. The encouraging results thus confirm the potential of combining information from SAR and optical sensors for timely urban area analysis, as required in cases of disaster management and planning in urban sprawl areas.
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spelling pubmed-37874352013-10-17 Rapid Urban Mapping Using SAR/Optical Imagery Synergy Corbane, Christina Faure, Jean-François Baghdadi, Nicolas Villeneuve, Nicolas Petit, Michel Sensors (Basel) Article This paper highlights the potential of combining Synthetic Aperture Radar (SAR) and optical data for operational rapid urban mapping. An algorithm consisting of a completely unsupervised procedure for processing pairs of co-registered SAR/optical images is proposed. In a first stage, a texture analysis is conducted independently on the two images using eight different chain-based Gaussian models. In a second stage, the resulting texture images are partitioned by an unsupervised fuzzy K-means approach. Finally, a fuzzy decision rule is used to aggregate the results provided by the classification of texture images obtained from the pair of SAR and optical images. The method was tested and validated on images of Bucharest (Romania) and Cayenne (French Guiana). These two study areas are of different terrain relief, urban settlement structure and land cover complexity. The data set included Radarsat-1/ENVISAT and SPOT-4/5 images. The developed SAR/optical information fusion scheme improved the capabilities of urban areas extraction when compared with the separate use of SAR and optical sensors. It also proved to be suitable for monitoring urbanization development. The encouraging results thus confirm the potential of combining information from SAR and optical sensors for timely urban area analysis, as required in cases of disaster management and planning in urban sprawl areas. Molecular Diversity Preservation International (MDPI) 2008-11-12 /pmc/articles/PMC3787435/ /pubmed/27873921 http://dx.doi.org/10.3390/s8117125 Text en © 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Corbane, Christina
Faure, Jean-François
Baghdadi, Nicolas
Villeneuve, Nicolas
Petit, Michel
Rapid Urban Mapping Using SAR/Optical Imagery Synergy
title Rapid Urban Mapping Using SAR/Optical Imagery Synergy
title_full Rapid Urban Mapping Using SAR/Optical Imagery Synergy
title_fullStr Rapid Urban Mapping Using SAR/Optical Imagery Synergy
title_full_unstemmed Rapid Urban Mapping Using SAR/Optical Imagery Synergy
title_short Rapid Urban Mapping Using SAR/Optical Imagery Synergy
title_sort rapid urban mapping using sar/optical imagery synergy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787435/
https://www.ncbi.nlm.nih.gov/pubmed/27873921
http://dx.doi.org/10.3390/s8117125
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