Paper Info
Title
Polarimetric SAR tomography of forested areas based on compressive MUSIC
Abstract
This paper focus on the polarimetric synthetic aperture radar (SAR) tomography for forested areas based on compressive MUSIC. In the proposed method, full polarimetric SAR echo signal reflected from the imaging area is collected, the corresponding multiple measurement vector model is established according to the parameters of polarimetric channels, the wavelet basis is adopted for representing the sparse vertical structure of the imaging area, and finally, the backscattering coefficients of the area are reconstructed by compressive MUSIC algorithm. The necessary number of tracks for SAR tomography is reduced and the severity of spurious spikes is suppressed under the same measurement accuracy. Simulation results from the PolSARpro data validate the effectiveness.
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6946822
IGARSS
Keywords
Field
DocType
spurious spikes,geophysical techniques,synthetic aperture radar,full polarimetric sar echo signal,polarimetric sar tomography,tomography,forested areas,compressive music,polsarpro data,sparse vertical structure,imaging area,polarimetric sar,remote sensing by radar,compressive music algorithm,area backscattering coefficients,multiple measurement vector model,polarimetric channel parameters,wavelet basis,vegetation,radar polarimetry,compressed sensing,radar imaging,azimuth,radar tracking,multiple signal classification
Continuous-wave radar,Computer vision,Radar imaging,Polarimetry,Interferometric synthetic aperture radar,Computer science,Side looking airborne radar,Synthetic aperture radar,Remote sensing,Inverse synthetic aperture radar,Bistatic radar,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Wanying Wang100.34
bingchen zhang211017.19
chenglong jiang3223.98
Hui Bi400.34
Zhe Zhang500.68
Yao Zhao6325.94
Wen Hong735549.85