A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s11227-022-04961-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/7326 |
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oai:localhost:PNK-73262023-03-30T03:58:23Z A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images Alberto S., Garea Dora B., Heras Francisco, Argüello DA TCANet CC BY Domain Adaptation (DA) is a technique that aims at extracting information from a labeled remote sensing image to allow classifying a different image obtained by the same sensor but at a different geographical location. This is a very complex problem from the computational point of view, specially due to the very high-resolution of multispectral images. TCANet is a deep learning neural network for DA classification problems that has been proven as very accurate for solving them. TCANet consists of several stages based on the application of convolutional filters obtained through Transfer Component Analysis (TCA) computed over the input images. 2023-03-30T03:58:23Z 2023-03-30T03:58:23Z 2023 Book https://link.springer.com/article/10.1007/s11227-022-04961-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/7326 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
DA TCANet |
| spellingShingle |
DA TCANet Alberto S., Garea Dora B., Heras Francisco, Argüello A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images |
| description |
CC BY |
| format |
Book |
| author |
Alberto S., Garea Dora B., Heras Francisco, Argüello |
| author_facet |
Alberto S., Garea Dora B., Heras Francisco, Argüello |
| author_sort |
Alberto S., Garea |
| title |
A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images |
| title_short |
A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images |
| title_full |
A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images |
| title_fullStr |
A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images |
| title_full_unstemmed |
A hybrid CUDA, OpenMP, and MPI parallel TCA-based domain adaptation for classification of very high-resolution remote sensing images |
| title_sort |
hybrid cuda, openmp, and mpi parallel tca-based domain adaptation for classification of very high-resolution remote sensing images |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1007/s11227-022-04961-y https://dlib.phenikaa-uni.edu.vn/handle/PNK/7326 |
| _version_ |
1761821913429049344 |
| score |
8.891145 |