SAR Image Segmentation using Statistical Techniques

SAR Image Segmentation using Statistical Techniques

Segmentation is performed in recognition applications as a primary step towards extraction of interesting regions of an image. In this paper, the characteristic effects of Weibull and Fractal parameters in the segmentation of Synthetic Aperture Radar (SAR) and Optical images acquired from satellite platform is studied. The algorithms are tested for different window sizes and different number of...

Polarimetric SAR Image Segmentation Using Texture Partitioning and Statistical Analysis

sar image segmentation and denoising simultaneously using level set methods

sar (synthetic aperture radar) image enhancement and segmentation is purpose of this thesis. sar image segmentation is a primary step before steps such as classification and target recognition. the main obstacle in sar image segmentation is inherent speckle noise. speckle noise is a multiplicative and highly destructive noise which results to intensity inhomogeneity. hence common segmentation m...

Unsupervised SAR Image Segmentation using Recursive Partitioning

We present a new approach to SAR image segmentation based on a Poisson approximation to the SAR amplitude image It has been established that SAR amplitude images are well approximated using Rayleigh distributions We show that with suitable modi cations we can model piecewise homogeneous regions such as tanks roads scrub etc within the SAR amplitude image using a Poisson model that bears a known...

SAR Image Segmentation using Superpixel Merging Algorithm

Image segmentation is an important tool in satellite image processing and serves as an efficient front end to sophisticated algorithm and thereby simplify subsequent processing. It used to extract the meaningful objects lying in the image. The aim of the paper is to obtain the segmentation of the Synthetic Aperture Radar (SAR) image with minimum run time of the algorithm. The algorithm used for...