Page 69 - 无损检测2024年第十一期
P. 69

危洪波,等:
              基于 SRGAN 的介电材料缺陷微波检测图像稀疏重建


                [8]  LIANG B Y,WANG S M,ZHOU Y G,et al.A new      [13]  李莹华,乔杨歌,刘颖,等. 基于压缩感知的超分辨率
                   microwave  nondestructive  testing  method  of  relative   重建研究综述[J]. 西安邮电大学学报,2021,26(2):
                   permittivity  and  conductivity  for  stratified  media  based   87-95.
                   on  dyadic  Green’s  function  I:Theory[J]. NDT  &  E     [14]  DONG  C,LOY  C  C,HE  K  M,et  al.Image  super-
                   International,2023,139:102920.                    resolution  using  deep  convolutional  networks[J]. IEEE
                [9]  FANG  Y,CHEN  Z  M,YANG  X  H,et  al.           Transactions  on  Pattern  Analysis  and  Machine
                   Visualization and quantitative evaluation of delamination   Intelligence,2016,38(2):295-307.
                   defects  in  GFRPs  via  sparse  millimeter-wave  imaging     [15]  SHI W Z,CABALLERO J,HUSZÁR F,et al.Real-
                   and image processing[J]. NDT & E International,2024,  time  single  image  and  video  super-resolution  using  an
                   141:102975.                                       efficient sub-pixel convolutional neural network[C]//2016
                [10]  RAHMAN  M  S  U,HASSAN  O  S,MUSTAPHA  A       IEEE  Conference  on  Computer  Vision  and  Pattern
                   A,et al.Microwave NDT of smart composite structures   Recognition(CVPR).Las Vegas:IEEE,2016:1874-1883.
                   with embedded antennas[J]. Sensors,2023,23(6):3200.    [16]  LEDIG  C,THEIS  L,HUSZÁR  F,et  al.Photo-
                [11]  LI  X,ORCHARD  M  T.New  edge-directed         realistic single image super-resolution using a generative
                   interpolation[J]. IEEE Transactions on Image Processing:  adversarial  network[C]//2017  IEEE  Conference  on
                   a  Publication  of  the  IEEE  Signal  Processing  Society,  Computer  Vision  and  Pattern  Recognition(CVPR).
                   2001,10(10):1521-1527.                            USA: IEEE,2017:105-114.
                [12]  CAPEL D,ZISSERMAN A.Computer vision applied     [17]  回沛林,李勇,王若男,等. GFRP材料损失缺陷的微波
                   to super resolution[J]. IEEE Signal Processing Magazine,  反射定量检测[J]. 传感器与微系统,2021,40(7):110-
                   2003,20(3):75-86.                                 113.



















































                                                                                                          35
                                                                                         2024 年 第 46 卷 第 11 期
                                                                                                  无损检测
   64   65   66   67   68   69   70   71   72   73   74