Name
Title | ||
|---|---|---|
PolSAR image segmentation — Advanced statistical modelling versus simple feature extraction |
Abstract | ||
|---|---|---|
In recent years, we have presented many algorithms for polarimetric SAR image segmentation that show the continually improving developments in the field. However, there are two distinct and divergent approaches - one using highly flexible textured models for the covariance matrix statistics (such as the Wishart, K-Wishart, and U-distribution), and the other using simple features extracted from such data (the Extended Polarimetric Feature Space method). In this study we will present a summary and comparison of both approaches and discuss the pros and cons for each with respect to image segmentation applications. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/IGARSS.2014.6946601 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
feature extraction,geophysical image processing,geophysical techniques,image segmentation,radar polarimetry,remote sensing by radar,synthetic aperture radar,PolSAR image segmentation,advanced statistical modelling,extended polarimetric feature space method,feature extraction,polarimetric SAR image segmentation,Polarimetric,Synthetic Aperture Radar,clustering,segmentation | Scale-space segmentation,Computer science,Remote sensing,Image segmentation,Artificial intelligence,Wishart distribution,Computer vision,Feature vector,Pattern recognition,Feature extraction,Statistical model,Covariance matrix,Simple Features | Conference |
ISSN | Citations | PageRank |
2153-6996 | 1 | 0.37 |
References | Authors | |
3 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anthony P. Doulgeris | 1 | 115 | 10.88 |
| Torbjørn Eltoft | 2 | 583 | 48.56 |