Title
Single Channel Circular SAR Moving Target Detection Based on Logarithm Background Subtraction Algorithm.
Abstract
In this paper, a new moving target detection algorithm for single channel circular Synthetic Aperture Radar (SAR) is presented. Circular SAR can perform observation with circular trajectory and retrieve multiaspect information. Due to the circular trajectory, the moving target has long and complex apparent trace (smear trajectory), while the background (clutter) has relatively slow changing characteristic in limited azimuth integration. Thus, the background image can be filtered by using radiometric adjusted overlap subaperture images. Then, the Signal-to-Clutter Ratio (SCR) of the region where the strong backscattering clutter exists is enhanced with logarithm background subtraction technique. In the real data experiment, the maximum SCR improvement is 13 dB. Finally, the moving target can be detected using a Constant False Alarm (CFAR) detector. The algorithm is evaluated with one channel data of three channel GOTCHA-GMTI dataset.
Year
DOI
Venue
2018
10.3390/rs10050742
REMOTE SENSING
Keywords
Field
DocType
circular synthetic aperture radar,single channel,moving target detection,logarithm background subtraction
Background subtraction,Computer vision,Clutter,Synthetic aperture radar,Azimuth,Algorithm,Artificial intelligence,Logarithm,Constant false alarm rate,Geology,Detector,Trajectory
Journal
Volume
Issue
ISSN
10
5
2072-4292
Citations 
PageRank 
References 
0
0.34
17
Authors
5
Name
Order
Citations
PageRank
J. W. Shen133.79
Yun Lin23712.35
Lingjuan Yu300.34
Feiteng Xue410.71
Wen Hong535549.85