Title
Ship Detection of Polarimetric SAR Images Using a Nonlocal Spatial Information-Guided Method
Abstract
Ship detection of polarimetric synthetic aperture radar (PolSAR) plays protection. Over the past years, local spatial infor mation around pixels has been successfully applied to this task.However, few works have been done on PolSAR ship detection using nonlocal spatial information (NSI). Within this context, we here propose one NSI-guided ship detection method PMR. Briefly, the feature power difference (PD) is first constructed by computing the total PD between the center pixel c and its most similar nonlocal pixel i within a 7 x 7 window. Then, the polarimetric feature reflection symmetry (RS) is introduced into PD to construct the method PMR (i.e., PD Multiply RS) for further enhancing the target-to-clutter ratio (TCR) and improving the ship detection accuracy. Experiments carried out on three real PolSAR datasets show that, in comparison with some other methods, especially the recently proposed local neighborhood information-based ship detector PWFN, PMR is more apt r foship detection. On average, its figure of merit (FoM) and TCR values respectively surpass PWFN 0.24 and 12.83 dB.
Year
DOI
Venue
2022
10.1109/LGRS.2022.3205619
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Keywords
DocType
Volume
Figure of merit (FoM), nonlocal spatial information (NSI), PMR, polarimetric synthetic aperture radar (PolSAR) ship detection, PWFN, target-to-clutter ratio (TCR)
Journal
19
ISSN
Citations 
PageRank 
1545-598X
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Tao Zhang1422100.57
J. D. Zhao23112.66
Huizhang Yang301.35
Weiwei Guo4177.50
Zhen Yang54513.51