Name
Abstract | ||
|---|---|---|
A study on sea oil spill observation by means of polarimetric synthetic aperture radar (SAR) data is accomplished. It is based on the use of a polarimetric constant false alarm rate filter to detect dark patches over SAR images. Then, the target decomposition theorem is exploited to distinguish oil spills and look-alikes. Experiments are conducted on polarimetric SAR data acquired during the SIR-C/X-SAR mission on October 1994. The data were processed and calibrated at the Jet Propulsion Laboratory, National Aeronautics and Space Administration. Results show that the new polarimetric approach is able to assist classification |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TGRS.2006.888097 | IEEE T. Geoscience and Remote Sensing |
Keywords | Field | DocType |
synthetic aperture radar,ad 1994 10,jet propulsion laboratory,marine pollution,synthetic aperture radar (sar),sir-c/x-sar mission,sea oil spills,oil spill,sar polarimetry,polarimetric synthetic aperture radar,polarimetric constant false alarm rate filter,oceanographic techniques,national aeronautics and space administration,radar polarimetry,constant false alarm rate | Meteorology,Data processing,Oil spill,Polarimetry,Synthetic aperture radar,Remote sensing,Jet propulsion,Filter (signal processing),Polarimetric synthetic aperture radar,Constant false alarm rate,Mathematics | Journal |
Volume | Issue | ISSN |
45 | 2 | 0196-2892 |
Citations | PageRank | References |
46 | 3.42 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maurizio Migliaccio | 1 | 467 | 82.94 |
| Attilio Gambardella | 2 | 86 | 9.25 |
| Massimo Tranfaglia | 3 | 46 | 3.75 |