Reconstruction of dielectrics from experimental data via a hybrid globally convergent/adaptive inverse algorithm

被引：20
|
作者：
Beilina, Larisa [1 ,2 ]
Klibanov, Michael V. [3 ]
机构：
[1] Chalmers Univ Technol, Dept Math Sci, SE-42196 Gothenburg, Sweden
[2] Gothenburg Univ, SE-42196 Gothenburg, Sweden
[3] Univ N Carolina, Dept Math & Stat, Charlotte, NC 28223 USA
来源：
INVERSE PROBLEMS | 2010年 / 26卷 / 12期
关键词：
SCATTERING PROBLEM;
D O I：
10.1088/0266-5611/26/12/125009
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The validity of the synthesis of a globally convergent numerical method with the adaptive FEM technique for a coefficient inverse problem is verified on time-resolved experimental data. The refractive indices, locations and shapes of dielectric abnormalities are accurately imaged.
引用
收藏
页数：30
相关论文
共 50 条
  • [41] A GLOBALLY CONVERGENT NUMERICAL METHOD FOR A 3D COEFFICIENT INVERSE PROBLEM WITH A SINGLE MEASUREMENT OF MULTI-FREQUENCY DATA
    Klibanov, Michael V.
    Dinh-Liem Nguyen
    Nguyen, Loc H.
    Liu, Hui
    INVERSE PROBLEMS AND IMAGING, 2018, 12 (02) : 493 - 523
  • [42] An adaptive boundary algorithm for the reconstruction of boundary and initial data using the method of fundamental solutions for the inverse Cauchy-Stefan problem
    Reddy, G. M. M.
    Nanda, P.
    Vynnycky, M.
    Cuminato, J. A.
    COMPUTATIONAL & APPLIED MATHEMATICS, 2021, 40 (03):
  • [43] Light Field Reconstruction via Deep Adaptive Fusion of Hybrid Lenses
    Jin, Jing
    Guo, Mantang
    Hou, Junhui
    Liu, Hui
    Xiong, Hongkai
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 45 (10) : 12050 - 12067
  • [44] Estimations of competing lifetime data from inverse Weibull distribution under adaptive progressively hybrid censored
    Abu El Azm, Wael S.
    Aldallal, Ramy
    Aljohani, Hassan M.
    Nassr, Said G.
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2022, 19 (06) : 6252 - 6275
  • [45] Adaptive algorithm for accurate 3D reconstruction of solid surface from unorganized data
    Tognola, G
    Parazzini, M
    Ravazzani, P
    Grandori, F
    Svelto, C
    2004 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES (IST), 2004, : 44 - 47
  • [46] A linearly convergent self-adaptive gradient projection algorithm for sparse signal reconstruction in compressive sensing
    Wang, Hengdi
    Du, Jiakang
    Su, Honglei
    Sun, Hongchun
    AIMS MATHEMATICS, 2023, 8 (06): : 14726 - 14746
  • [47] ADAPTIVE RECONSTRUCTION METHOD OF MISSING TEXTURES BASED ON INVERSE PROJECTION VIA SPARSE REPRESENTATION
    Ogawa, Takahiro
    Haseyama, Miki
    2010 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2010), 2010, : 352 - 357
  • [48] Effective compressed sensing MRI reconstruction via hybrid GSGWO algorithm
    Guruprasad, Shrividya
    Bharathi, S. H.
    Delvi, D. Anto Ramesh
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2021, 80
  • [49] Coupled ptychography and tomography algorithm improves reconstruction of experimental data
    Kahnt, Maik
    Becher, Johannes
    Brueckner, Dennis
    Fam, Yakub
    Sheppard, Thomas
    Weissenberger, Tobias
    Wittwer, Felix
    Grunwaldt, Jan-Dierk
    Schwieger, Wilhelm
    Schroer, Christian G.
    OPTICA, 2019, 6 (10) : 1282 - 1289
  • [50] Parametric Tuning of Direct Adaptive Inverse Control via NLMS Algorithm with Fuzzy Adaptive Step Size
    Noronha, Rodrigo Possidonio
    2021 IEEE 5TH COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL (CCAC): TECHNOLOGICAL ADVANCES FOR A SUSTAINABLE REGIONAL DEVELOPMENT, 2021, : 238 - 243
12345