Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Radar detection of wetland ecosystems: a review
International Journal of Remote Sensing
IEEE Transactions on Image Processing
Modeling SAR images with a generalization of the Rayleigh distribution
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Hi-index | 0.00 |
This paper presents a semi-supervised algorithm for the classification of water regions in SAR images. The proposed technique is based on region based level sets and non-parametric estimation of the probability density function (PDF) of the pixel intensities. The level set framework allows automatic topology adaptation and provides the regularization while the PDF's are estimated in each region using Parzen windows. Using non-parametric density estimation gives the method the flexibility to be used with different kinds of SAR data. To illustrate the performance of the proposed algorithm, the method is applied to the problems of river mapping and coastline extraction in real amplitude SAR images.