Remote Sensing Image Change Detection Based on Fully Convolutional Network With Pyramid Attention-Reference-Cited by-同舟云学术

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Remote Sensing Image Change Detection Based on Fully Convolutional Network With Pyramid Attention

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Author:

Li Shujun,Huo Lianzhi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9553015/9553016/09554522.pdf?arnumber=9554522

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cross-Modal Segmentation Network for Winter Wheat Mapping in Complex Terrain Using Remote-Sensing Multi-Temporal Images and DEM Data;Remote Sensing;2024-05-16

2. CSCNet: A Cross-Scale Coordination Siamese Network for Building Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. A Triple-Branch Hybrid Attention Network With Bitemporal Feature Joint Refinement for Remote-Sensing Image Semantic Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

4. SAAN: Similarity-Aware Attention Flow Network for Change Detection With VHR Remote Sensing Images;IEEE Transactions on Image Processing;2024

5. CGMMA: CNN-GNN Multiscale Mixed Attention Network for Remote Sensing Image Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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