Dynamic convolutional model based on distribution-collaboration strategy for remote sensing scene classification
Most existing remote sensing image scene classification (RSISC) models rely mainly on cloud or terminal convolutional neural networks (CNN). However, with the advent of the era of high-resolution remote sensing image (HRRSI) big data, the accuracy and efficiency of such models on remote sensing mult...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2517824 |
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