Name
Abstract | ||
|---|---|---|
In this letter, we propose a supervised method for the classification of fully polarimetric synthetic aperture radar (PolSAR) images based on active contour models. We use an “a priori” estimation, obtained from training data, of the complex Wishart distributions of the different types of regions in the image (for instance, water, crops, grass, forest or urban). The information of the Wishart dist... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LGRS.2019.2892524 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Active contours,Estimation,Adaptation models,Biological system modeling,Level set,Data models,Scattering | Training set,Active contour model,Data modeling,Computer vision,A priori and a posteriori,Level set,Synthetic data,Artificial intelligence,Polarimetric synthetic aperture radar,Wishart distribution,Mathematics | Journal |
Volume | Issue | ISSN |
16 | 7 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Santana-Cedrés | 1 | 35 | 6.01 |
| Luis Gomez | 2 | 37 | 6.88 |
| Agustín Trujillo | 3 | 32 | 8.34 |
| Miguel Alemán-Flores | 4 | 69 | 12.06 |
| Rachid Deriche | 5 | 4903 | 633.65 |
| L. Alvarez | 6 | 285 | 39.37 |