LSNET: Extremely Light-Weight Siamese Network for Change Detection of Remote Sensing Image
Author:
Affiliation:
1. School of Resources and Environment, University of Electronic Science and Technology of China
2. Truly Opto-Electronics Co., Ltd.,Novel Product R&D Department,Shanwei,China,516600
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884446.pdf?arnumber=9884446
Reference15 articles.
1. End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++
2. Fully Convolutional Siamese Networks for Change Detection
3. Deep Residual Learning for Image Recognition
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1. A Lightweight Change Detection Method Based on Feature Interaction and Transformer for High Resolution Remote Sensing Images;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. A Lightweight Patch-Level Change Detection Network Based on Multilayer Feature Compression and Sensitivity-Guided Network Pruning;IEEE Transactions on Geoscience and Remote Sensing;2024
3. AFPF-Net: Adjacent-Level Feature Progressive Fusion Full Convolutional Network for Remote Sensing Change Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
4. An Object Fine-Grained Change Detection Method Based on Frequency Decoupling Interaction for High-Resolution Remote Sensing Images;IEEE Transactions on Geoscience and Remote Sensing;2024
5. DLB-CNet: Difference Learning-Based Convolution Network for Building Change Detection;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024
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