UCDFormer: Unsupervised Change Detection Using Real-time Transformers-Reference-Cited by-同舟云学术

UCDFormer: Unsupervised Change Detection Using Real-time Transformers

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:2023 Joint Urban Remote Sensing Event (JURSE)
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Author:

Xu Qingsong¹,Shi Yilei²,Zhu Xiao Xiang¹

Affiliation:

1. Technical University of Munich,Data Science in Earth Observation,Munich,Germany

2. Technical University of Munich,Chair of Remote Sensing Technology,Munich,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10144111/10144082/10144178.pdf?arnumber=10144178

Reference8 articles.

1. Unsupervised change detection in multitemporal vhr images based on deep kernel pca convolutional mapping network;wu;IEEE Transactions on Cybernetics,2021

2. Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

3. Styleformer: Real-time arbitrary style transfer via parametric style composition;wu;Proceedings of the IEEE/CVF International Conference on Computer Vision,2021

4. Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

5. Using adversarial network for multiple change detection in bitemporal remote sensing imagery;zhao;IEEE Geoscience and Remote Sensing Letters,2020

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