BDBComp
Parceria:
SBC
Polarimetric SAR Region Boundary Detection Using B-Spline Deformable Countours under the G^H Model

Juliana GambiniMarta MejailJulio Jacobo-BerllesAlejandro César Frery

In this paper a new approach to polarimetric Synthetic Aperture Radar (SAR) image region boundary detection is presented. It is based on a new model for polarimetric SAR data and the use of B-Spline active contours for image segmentation. In order to detect the boundary for a region, an initial B-Spline curve is specified and the proposed algorithm uses a deformable contours technique to find the boundary. In doing this, the statistical parameters of the polarimetric G^H model for the data are estimated, in order to find the transition points between the region being segmented and the surrounding area. This algorithm can be regarded as a local one, in the sense that it works on the region to be segmented instead of on the whole image.

http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2005.39

Caso o link acima esteja inválido, faça uma busca pelo texto completo na Web: Buscar na Web

Biblioteca Digital Brasileira de Computação - Contato: bdbcomp@lbd.dcc.ufmg.br
     Mantida por:
LBD