This paper aims at illustrating different case examples of monitoring active coastal evolutions using remote sensing synthetic aperture radar images (ERS 1-2 and Envisat) in humid tropical areas. Effectively, the radar satellite images may be acquired under most climate conditions, especially in cloudy tropical areas. As case examples, we studied herein French Guiana shoreline and its fast evolution under the combined influences of sea currents, sediments and swells. We focused on two aspects of French Guiana littoral evolution: (1) sedimentation and erosion processes linked to mud banks displacements around Kourou City, and (2) around Iracoubo village. Lastly, we compared this short-term sedimentation balance with long-term data showing the discrepancies of short-and long-term littoral evolutions on whole French Guiana. To conclude, this work demonstrates the importance of SAR imagery to provide high-quality and high-frequency update geographic information for coastal management and littoral hazards especially in such tropical humid and cloudy areas.
There has been growing research in the area of coastline detection using SAR images over the past few years. In this paper we propose a novel coastline extraction method based on wavelet packets, multiscale segmentation and a Markov Random Field regularization .. Numerous spatial domain classical algorithms currently failed in the discrimination of Water and Ground when the contrast within the pixels values is low. Suitable wavelet packets informations features provides a good tool for distinguishing between textures. Utilizing the inherent tree structured of wavelet packets, a multiscale texture segmentation based on the fuzzy C-means algorithm is performed at different scales. The aboved multiscale segmentation are fused using a Markov Random Field regularization in the features domain for the final extraction of the coastline.The experimental results show the performance of the method, we can visualy evaluated the improved quality of the coastline extracted compared to classical algorithm based on image domain. Somes results are presented with ERS SAR images.
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