Title :
Under-Foliage Object Imaging Using SAR Tomography and Polarimetric Spectral Estimators
Author :
Huang, Yue ; Ferro-Famil, Laurent ; Reigber, Andreas
Author_Institution :
Inst. of Electron. & Telecommun. of Rennes, Univ. of Rennes 1, Rennes, France
fDate :
6/1/2012 12:00:00 AM
Abstract :
This paper addresses the imaging of objects located under a forest cover using polarimetric synthetic aperture radar tomography (POLTOMSAR) at L-band. High-resolution spectral estimators, able to accurately discriminate multiple scattering centers in the vertical direction, are used to separate the response of objects and vehicles embedded in a volumetric background. A new polarimetric spectral analysis technique is introduced and is shown to improve the estimation accuracy of the vertical position of both artificial scatterers and natural environments. This approach provides optimal polarimetric features that may be used to further characterize the objects under analysis. The effectiveness of this novel technique for POLTOMSAR is demonstrated using fully polarimetric L-band airborne data sets acquired by the German Aerospace Center (DLR)´s E-SAR system over the test site in Dornstetten, Germany.
Keywords :
forestry; geophysical image processing; image resolution; radar imaging; radar interferometry; radar polarimetry; spectral analysis; synthetic aperture radar; tomography; L-band; POLTOMSAR; SAR tomography; forestry; german aerospace center E-SAR system; high-resolution polarimetric spectral estimators; polarimetric spectral analysis technique; polarimetric synthetic aperture radar tomography; under-foliage object imaging; Covariance matrix; Estimation; Multiple signal classification; Scattering; Tomography; Vectors; Multibaseline PolInSAR; SAR tomography; underfoliage imaging;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2011.2171494