A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images.
Alberto S. GareaDora B. HerasFrancisco ArgüelloBegüm DemirPublished in: J. Supercomput. (2023)
Keyphrases
- remote sensing images
- shared memory
- domain adaptation
- parallel programming
- parallel implementation
- parallel computing
- parallel algorithm
- landsat etm
- message passing interface
- document classification
- multispectral
- remote sensing
- distributed memory
- multi spectral images
- parallel computation
- message passing
- change detection
- parallel processing
- pattern recognition
- decision trees
- text classification
- massively parallel
- high performance computing
- general purpose
- labeled data
- feature extraction
- cross domain
- multiple sources
- feature vectors
- parallel execution
- machine learning
- satellite images
- feature space
- unlabeled data
- text categorization
- machine learning algorithms
- computer vision
- training data
- pairwise
- image analysis
- co training
- feature representation
- feature set
- hyperspectral
- unsupervised learning
- classification algorithm