A hybrid cuda, openmp, and mpi parallel tca-based domain adaptation for classification of very high-resolution remote sensing images

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  • who: Alberto S. Garea from the (UNIVERSITY) have published the research work: A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images, in the Journal: (JOURNAL)
  • what: In this paper TCA-based domain adaptation technique for solving the classification of very high-resolution multispectral images is presented. In this paper, a hybrid parallel supervised classification scheme based on DA by using TCANet and Support Vector Machines (SVM) as classifier is presented. 2.2 TCANetu2011based classification scheme This section describes the TCANet-based classification scheme used . . .

     

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