Name
Title | ||
|---|---|---|
A Combination of Traditional and Polarimetric Features for Oil Spill Detection Using TerraSAR-X. |
Abstract | ||
|---|---|---|
Synthetic aperture radar (SAR) images are operationally used for the detection of oil spills in the marine environment, as they are independent of sun light and weather-induced phenomena. Exploitation of radar polarimetric features for operational oil spill detection is relatively new and until recently those properties have not been extensively exploited. This paper describes the development of a... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2016.2559946 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Scattering,Sea surface,Synthetic aperture radar,Entropy,Surface contamination,Eigenvalues and eigenfunctions | Radar,Polarimetry,Synthetic aperture radar,Remote sensing,Support vector machine,Feature extraction,Mutual information,Classifier (linguistics),Discriminative model,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 11 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Singha, S. | 1 | 19 | 4.57 |
| Ressel, R. | 2 | 12 | 3.43 |
| Domenico Velotto | 3 | 31 | 8.76 |
| Susanne Lehner | 4 | 116 | 15.23 |