A Dual-Branches Multiscale Dynamic Partial Convolutional Attention Network for Remote Sensing Change Detection
Remote sensing change detection aims to accurately detect changes in buildings, roads, and other features in a pair of dual-temporal remote sensing images. In recent years, convolutional neural networks have achieved significant results in this task, but they lack the ability to model global feature...
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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/10882914/ |
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