AFPF-Net: Adjacent-Level Feature Progressive Fusion Full Convolutional Network for Remote Sensing Change Detection
In recent years, convolutional neural networks have achieved good results in the field of change detection (CD) owing to their exceptional feature extraction capabilities. However, accurately detecting objects with completely changing details, given the complex imaging conditions of bitemporal image...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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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/10623900/ |