TY - JOUR
T1 - The role of non-local estimation in SAR tomographic imaging of volumetric media
AU - Aghababaei, H.
AU - Ferraioli, Giampaolo
AU - Schirinzi, Gilda
AU - Sahebi, Mahmood reza
PY - 2018/3/12
Y1 - 2018/3/12
N2 - This letter analyzes the impact of the accuracy of estimation of the data covariance matrix in synthetic aperture radar tomography of vegetated areas. The characterization of volumetric areas requires a robust estimation of the covariance matrix, which is usually performed by means of an averaging operation of neighboring pixels. In this letter, a different approach, based on the use of local and nonlocal (NL) neighborhoods of pixels, is evaluated. The analysis considers the quality of the reconstructed vertical profile obtained using both single and fully polarimetric multibaseline (MB) data. In the case of fully polarimetric data, two procedures for obtaining the vertical reconstruction are analyzed: the sum of Kronecker product decomposition of the covariance matrix and a procedure based on the full-rank estimation of a 3-D coherence matrix. The analysis of the impact of NL technique on the robust estimation of covariance matrix and on the capability of separating the interfering signals is performed using simulated and P-band real MB data.
AB - This letter analyzes the impact of the accuracy of estimation of the data covariance matrix in synthetic aperture radar tomography of vegetated areas. The characterization of volumetric areas requires a robust estimation of the covariance matrix, which is usually performed by means of an averaging operation of neighboring pixels. In this letter, a different approach, based on the use of local and nonlocal (NL) neighborhoods of pixels, is evaluated. The analysis considers the quality of the reconstructed vertical profile obtained using both single and fully polarimetric multibaseline (MB) data. In the case of fully polarimetric data, two procedures for obtaining the vertical reconstruction are analyzed: the sum of Kronecker product decomposition of the covariance matrix and a procedure based on the full-rank estimation of a 3-D coherence matrix. The analysis of the impact of NL technique on the robust estimation of covariance matrix and on the capability of separating the interfering signals is performed using simulated and P-band real MB data.
KW - ITC-ISI-JOURNAL-ARTICLE
UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1109/LGRS.2018.2808681
UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2018/isi/aghababaee_rol.pdf
U2 - 10.1109/LGRS.2018.2808681
DO - 10.1109/LGRS.2018.2808681
M3 - Article
VL - 15
SP - 729
EP - 733
JO - IEEE geoscience and remote sensing letters
JF - IEEE geoscience and remote sensing letters
SN - 1545-598X
IS - 5
ER -