Paper Info
Title
An Automatic Ship Detection Method for PolSAR Data Based on K-Wishart Distribution.
Abstract
For polarimetric synthetic aperture radar (PolSAR) data, abundant structure and textural information significantly enhance the ability of ship detection. This paper presents an automatic ship detection algorithm for PolSAR data, termed K-Wishart detector, which utilizes non-Gaussian K-Wishart classifier and incorporates the polarimetric SPAN parameter to identify the ships. The fundamental assumpt...
Year
DOI
Venue
2017
10.1109/JSTARS.2017.2703862
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Marine vehicles,Covariance matrices,Data models,Scattering,Detectors,Clutter,Clustering algorithms
Data modeling,False alarm,Remote sensing,Artificial intelligence,Classifier (linguistics),Cluster analysis,Wishart distribution,Detector,Computer vision,Polarimetry,Pattern recognition,Clutter,Mathematics
Journal
Volume
Issue
ISSN
10
6
1939-1404
Citations 
PageRank 
References 
2
0.38
16
Authors
6
Name
Order
Citations
PageRank
Weiwei Fan1537.96
Feng Zhou22189158.01
Mingliang Tao36810.49
Xueru Bai416925.80
Xiaoran Shi541.42
Hanyang Xu621.39