Title
Ship Size Extraction for Sentinel-1 Images Based on Dual-Polarization Fusion and Nonlinear Regression: Push Error Under One Pixel.
Abstract
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 Li1369.80
Bin Liu2776.09
Weiwei Guo3177.50
Zenghui Zhang45010.29
Wenxian Yu532943.89