Name
Title | ||
|---|---|---|
Hierarchical Segmentation Of Polarimetric Sar Images Using Heterogeneous Clutter Models |
Abstract | ||
|---|---|---|
In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV) estimation scheme, the scalar texture parameter and the normalized covariance matrix are extracted. If the texture parameter is modeled by a Fisher PDF, the observed target scattering vector follows a KummerU PDF. Then, this PDF is implemented in a hierarchical segmentation algorithm. Segmentation results are shown on high resolution PolSAR data at L and X band. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IGARSS.2009.5418271 | 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 |
Keywords | DocType | Volume |
Fisher PDF, KummerU PDF, PolSAR data, Segmentation, Spherically Invariant Random Vectors | Journal | 49 |
Issue | ISSN | Citations |
2 | 2153-6996 | 0 |
PageRank | References | Authors |
0.34 | 19 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lionel Bombrun | 1 | 150 | 20.59 |
| Jean-Marie Beaulieu | 2 | 96 | 19.25 |
| Gabriel Vasile | 3 | 145 | 18.88 |
| Jean Philippe Ovarlez | 4 | 190 | 25.11 |
| Frédéric Pascal | 5 | 175 | 23.99 |
| Michel Gay | 6 | 0 | 0.68 |