Abstract / truncated to 115 words (read the full abstract)

The objective of this thesis is to develop and validate robust approaches for the semi-automatic extraction of road networks in dense urban areas from very high resolution (VHR) optical satellite images. Our models are based on the recently developed higher-order active contour (HOAC) phase field framework. The problem is difficult for two main reasons: VHR images are intrinsically complex and network regions may have arbitrary topology. To tackle the complexity of the information contained in VHR images, we propose a multiresolution statistical data model and a multiresolution constrained prior model. They enable the integration of segmentation results from coarse resolution and fine resolution. Subsequently, for the particular case of road map updating, we present a ... toggle 13 keywords

higher-order – active contour – phase field – prior – constraint – shape – multiresolution – parameter – road network extraction – map updating – very high resolution (vhr) – dense urban area – remote sensing images

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