Paper Info
Title
Simulation of ISAR imaging for a space target and reconstruction under sparse sampling via compressed sensing
Abstract
Simulation of Inverse synthetic aperture radar (ISAR) imaging of space targets and reconstruction under sparse sampling via compressed sensing (CS) are investigated. The numerical method of bidirectional analytic ray tracing (BART) is employed to compute the polarized scattering from an electrically large target. With multi-orbit and multistation imaging mode, two-D and three-D (dimensional) ISAR images are acquired. CS is introduced into the reconstruction of the ISAR image under sparse sampling. As example, a simple satellite model for the Aura satellite is presented.
Year
DOI
Venue
2015
10.1109/TGRS.2014.2376940
Geoscience and Remote Sensing, IEEE Transactions  
Keywords
Field
DocType
synthetic aperture radar,aura satellite,numerical bart method,image coding,reconstruction,compressed sensing (cs),space target,3-d isar image,numerical analysis,numerical method,multiorbit imaging mode,2-d isar image,remote sensing by radar,image reconstruction,reconstruction under sparse sampling,compressed sensing,isar image reconstruction,bidirectional analytic ray tracing,inverse synthetic aperture radar,polarized scattering,cs,inverse synthetic aperture radar (isar) imaging,multistation imaging mode,isar imaging simulation,scattering simulation,solid modelling,sparse sampling,x-37b orbital test vehicle,bart,radar imaging,space reconstruction,aura satellite models
Radar imaging,Satellite,Ray tracing (graphics),Computer science,Side looking airborne radar,Remote sensing,Optics,Inverse synthetic aperture radar,Sampling (statistics),Scattering,Compressed sensing
Journal
Volume
Issue
ISSN
53
6
0196-2892
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Feng Wang134.08
Thomas F. Eibert242.33
Ya-Qiu Jin324135.84