% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Ghosh:1031804,
      author       = {Ghosh, Raktim and Delilbasic, Amer and Cavallaro, Gabriele
                      and Bovolo, Francesca},
      title        = {{A} {CNN} {A}rchitecture {T}ailored {F}or {Q}uantum
                      {F}eature {M}ap-{B}ased {R}adar {S}ounder {S}ignal
                      {S}egmentation},
      publisher    = {IEEE},
      reportid     = {FZJ-2024-05824},
      pages        = {442-445},
      year         = {2024},
      abstract     = {This article presents a hybrid quantum-classical framework
                      by incorporating quantum feature maps into a classical
                      Convolutional Neural Network (CNN) architecture for
                      detecting different subsurface targets in radar sounder
                      signals. The quantum feature maps are generated by quantum
                      circuits to utilize spatially-bound input information from
                      the training samples. The associated spectral probabilistic
                      amplitudes of the feature maps are further fed into the
                      classical CNN-based network to classify the subsurface
                      targets in the radargram. Experimental results on the MCoRDS
                      and MCoRDS3 datasets demonstrated the capability of
                      enhancing the classical architecture through quantum feature
                      maps for characterizing radar sounder data.},
      month         = {Jul},
      date          = {2024-07-07},
      organization  = {IGARSS 2024 - 2024 IEEE International
                       Geoscience and Remote Sensing
                       Symposium, Athens (Greece), 7 Jul 2024
                       - 12 Jul 2024},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)8},
      UT           = {WOS:001316158500102},
      doi          = {10.1109/IGARSS53475.2024.10642188},
      url          = {https://juser.fz-juelich.de/record/1031804},
}