Paper Info
Title
Ship Detection in SAR Images via Enhanced Nonnegative Sparse Locality-Representation of Fisher Vectors
Abstract
As a powerful coding strategy for superpixels in synthetic aperture radar (SAR) images, Fisher vector (FV) lies in a low-dimensional subspace and can be sparsely represented as a linear combination of training samples. The existing ship detection methods based on FVs often consider the Euclidean distances between target FVs and clutter FVs, where the subspace features of FVs are generally not expl...
Year
DOI
Venue
2021
10.1109/TGRS.2020.3042506
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Marine vehicles,Radar polarimetry,Detectors,Clutter,Feature extraction,Synthetic aperture radar,Training
Journal
59
Issue
ISSN
Citations 
11
0196-2892
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Wang X12514.20
Gang Li229851.27
Antonio Plaza38317.35
HE You419210.34