Paper Info
Title
Refocusing Moving Ship Targets in SAR Images Based on Fast Minimum Entropy Phase Compensation.
Abstract
Moving ship targets appear blurred and defocused in synthetic aperture radar (SAR) images due to the translation motion during the coherent processing. Motion compensation is required for refocusing moving ship targets in SAR scenes. A novel refocusing method for moving ship is developed in this paper. The method is exploiting inverse synthetic aperture radar (ISAR) technique to refocus the ship target in SAR image. Generally, most cases of refocusing are for raw echo data, not for SAR image. Taking into account the advantages of processing in SAR image, the processing data are SAR image rather than raw echo data in this paper. The ISAR processing is based on fast minimum entropy phase compensation method, an iterative approach to obtain the phase error. The proposed method has been tested using Spaceborne TerraSAR-X, Gaofeng-3 images and airborne SAR images of maritime targets.
Year
DOI
Venue
2019
10.3390/s19051154
SENSORS
Keywords
Field
DocType
synthetic aperture radar (SAR),inverse synthetic aperture radar (ISAR),moving ship,refocusing,fast minimum entropy
Computer vision,Phase compensation,Phase error,Synthetic aperture radar,Minimum entropy,Motion compensation,Inverse synthetic aperture radar,Electronic engineering,Artificial intelligence,Engineering,Coherent processing
Journal
Volume
Issue
ISSN
19
5.0
1424-8220
Citations 
PageRank 
References 
0
0.34
16
Authors
5
Name
Order
Citations
PageRank
Xiangli Huang100.34
Kefeng Ji217617.01
Xiangguang Leng3788.02
Ganggang Dong41109.27
Xiangwei Xing5605.88