Couplage de données optiques et radar pour la caractérisation de paysages urbains amazoniens. Application à l'île de Cayenne

Faure, Jean-François; Fotsing, Jean-Marie; Baghdadi, Nicolas

doi:10.3166/rig.14.379-401

Cited by 2 publications

(1 citation statement)

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“…Hence for this site, the validation of the results is conducted by visual interpretation and manual delineation of urban areas on the SPOT-4 image (yellow contours on Figure 2a). Conversely, a reference map, obtained by visual interpretation of an aerial photograph and by ground survey, is available for the Cayenne test site [30, 31]. This allows to quantitatively assess how much the proposed procedure is effective in improving the results obtained from the separate use of SAR and optical sensors.…”

Section: Resultsmentioning

confidence: 99%

Rapid Urban Mapping Using SAR/Optical Imagery Synergy

Corbane

Faure

Baghdadi³

et al. 2008

Sensors

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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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Section: Resultsmentioning

confidence: 99%