Name
Abstract | ||
|---|---|---|
This study proposes a new metric to process dual-polarimetric coherent and incoherent synthetic aperture radar (SAR) data for coastline extraction purposes. The metric, based on the correlation between co- and cross-polarized channels, allows discriminating land from sea in an unsupervised way. Then, simple image processing is adopted to extract continuous coastline from the binary image. Experime... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2016.2560342 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar,Data mining,Sea measurements,Scattering,Ocean temperature,Sea surface | Polarimetry,Synthetic aperture radar,Binary image,Remote sensing,Image processing,Mean squared error,Ground truth,Pixel,Mathematics,X band | Journal |
Volume | Issue | ISSN |
9 | 11 | 1939-1404 |
Citations | PageRank | References |
2 | 0.42 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ferdinando Nunziata | 1 | 215 | 41.25 |
| Andrea Del Buono | 2 | 21 | 8.09 |
| Maurizio Migliaccio | 3 | 467 | 82.94 |
| Guido Benassai | 4 | 2 | 0.76 |