Title | ||
---|---|---|
Ship Size Extraction for Sentinel-1 Images Based on Dual-Polarization Fusion and Nonlinear Regression: Push Error Under One Pixel. |
Abstract | ||
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In this paper, we present a method of ship size extraction for Sentinel-1 synthetic aperture radar (SAR) images, which is composed of the image processing stage and the regression stage. In order to achieve extraction with high accuracy, considering the data characteristics of Sentinel-1 images, we propose to use the dual-polarization fusion and the nonlinear regression with the gradient boosting.... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TGRS.2018.2841882 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Marine vehicles,Synthetic aperture radar,Image resolution,Scattering,Data mining,Surveillance,Azimuth | Computer vision,Regression,Pattern recognition,Synthetic aperture radar,Image processing,Nonlinear regression,Artificial intelligence,Pixel,Image resolution,Mathematics,Gradient boosting,Linear regression | Journal |
Volume | Issue | ISSN |
56 | 8 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Boying Li | 1 | 36 | 9.80 |
Bin Liu | 2 | 77 | 6.09 |
Weiwei Guo | 3 | 17 | 7.50 |
Zenghui Zhang | 4 | 50 | 10.29 |
Wenxian Yu | 5 | 329 | 43.89 |