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Remote Sens. 2018, 10(6), 948; https://doi.org/10.3390/rs10060948

A Ship Detector Applying Principal Component Analysis to the Polarimetric Notch Filter

1
Shanghai Key Lab. of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai 200240, China
2
Natural Sciences, The University of Stirling, Stirling FK9 4LA, UK
*
Author to whom correspondence should be addressed.
Received: 26 April 2018 / Revised: 8 June 2018 / Accepted: 11 June 2018 / Published: 14 June 2018
(This article belongs to the Special Issue Remote Sensing of Target Detection in Marine Environment)
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Abstract

Ship detection using polarimetric synthetic aperture radar (PolSAR) data has attracted a lot of attention in recent years. Polarimetry can provide information regarding the scattering mechanisms of targets, which helps discriminate between ships and sea clutter. This enhancement is particularly valuable when we aim at detecting smaller vessels in rough sea states. This work exploits a ship detector called the Geometrical Perturbation-Polarimetric Notch Filter (GP-PNF), and it is aimed at improving its performance especially when less polarimetric images are available (e.g., dual-polarimetric data). The idea is to design a new polarimetric feature vector containing more features that are renowned to allow separation between ships and sea clutter. Then, a Principal Component Analysis (PCA) is further used to reduce the dimensionality of the new feature space. Experiments on four real Sentinel-1 datasets are carried out to demonstrate the validity of the proposed method and compare it against other ship detectors. Analyses of the experimental results show that the proposed algorithm can not only reduce the false alarms significantly, but also enhance the target-to-clutter ratio (TCR) so that it can more effectively detect weaker ships. View Full-Text
Keywords: ship detection; polarimetric features; GP-PNF; PCA; Sentinel-1; false alarms; weaker ships ship detection; polarimetric features; GP-PNF; PCA; Sentinel-1; false alarms; weaker ships
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Zhang, T.; Marino, A.; Xiong, H.; Yu, W. A Ship Detector Applying Principal Component Analysis to the Polarimetric Notch Filter. Remote Sens. 2018, 10, 948.

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