Paper Info
Title
High resolution SAR imagery ship detection based on EXS-C-CFAR in Alpha-stable clutters
Abstract
High resolution SAR imagery captures both the sea background and ship target more explicitly. This paper proposed an algorithm based on EXS-C-CFAR (excision-switching context based CFAR) and Alpha-stable distribution to detect ships in high resolution SAR imagery. From experiment results, it is derived that the Alpha-stable distribution models spiky sea clutter well and the EXS-C-CFAR has good ship detection performance on JPL/NASA AIRSAR data. Moreover, context information utilized in the detector preserves more ship structures.
Year
DOI
Venue
2011
10.1109/IGARSS.2011.6048956
IGARSS
Keywords
Field
DocType
synthetic aperture radar,ship detection,marine radar,high resolution,synthetic aperture radar (sar),const false alarm rate (cfar),context information,ships,exs c cfar,jpl/nasa airsar data,alpha stable clutters,alpha-stable distribution,excision switching context,high resolution sar imagery,radar imaging,image resolution,detectors,indexing terms,stable distribution,clutter,false alarm rate
Computer vision,Radar imaging,Computer science,Synthetic aperture radar,Clutter,Context based,Remote sensing,Marine radar,Artificial intelligence,Constant false alarm rate,Detector,Image resolution
Conference
Volume
Issue
ISSN
null
null
2153-6996
ISBN
Citations 
PageRank 
978-1-4577-1003-2
4
0.73
References 
Authors
2
5
Name
Order
Citations
PageRank
Xiangwei Xing1605.88
Kefeng Ji217617.01
Huanxin Zou318419.43
Jixiang Sun4705.70
Shilin Zhou57213.94