ACTFormer: A Transformer Network With Attention and Convolutional Synergy for Remote Sensing Scene Classification
In the field of remote sensing scene classification, persistent challenges such as interclass similarity and intraclass diversity—stemming from the inherent complexity of remote sensing scenes—continue to impede progress. Although convolutional neural networks (CNNs) and vision...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11080299/ |
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