TY - JOUR
T1 - Image Recovery of Inaccessible Rough Surfaces Profiles Having Impedance Boundary Condition
AU - Sefer, Ahmet
AU - Yapar, Ali
N1 - Generated from Scopus record by KAUST IRTS on 2023-10-23
PY - 2022/1/1
Y1 - 2022/1/1
N2 - This letter addresses a reconstruction algorithm of locally rough inaccessible surface profiles via the knowledge of the scattered field data under the consideration of the impedance boundary condition (IBC). To this aim, first, the synthetic scattered field data are obtained through the solution of the conventional surface integral equation (SIE) written on the rough surface. Then, the same SIE together with the data equation is solved iteratively via Newton's method to obtain the image of the rough surface profile. In the numerical implementation, the nonlinear ill-posed inverse problem is linearized in an iterative fashion via the Newton method and regularized by Tikhonov in the least-squares sense. The feasibility of the algorithm is provided via numerical examples, which shows that the method is effective and promising.
AB - This letter addresses a reconstruction algorithm of locally rough inaccessible surface profiles via the knowledge of the scattered field data under the consideration of the impedance boundary condition (IBC). To this aim, first, the synthetic scattered field data are obtained through the solution of the conventional surface integral equation (SIE) written on the rough surface. Then, the same SIE together with the data equation is solved iteratively via Newton's method to obtain the image of the rough surface profile. In the numerical implementation, the nonlinear ill-posed inverse problem is linearized in an iterative fashion via the Newton method and regularized by Tikhonov in the least-squares sense. The feasibility of the algorithm is provided via numerical examples, which shows that the method is effective and promising.
UR - https://ieeexplore.ieee.org/document/9617618/
UR - http://www.scopus.com/inward/record.url?scp=85122849584&partnerID=8YFLogxK
U2 - 10.1109/LGRS.2021.3128665
DO - 10.1109/LGRS.2021.3128665
M3 - Article
SN - 1558-0571
VL - 19
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
ER -