A Novel Theoretical Framework for Unsupervised Change Detection Based on CVA in Polar Domain

Author:

Bovolo F.,Bruzzone L.

Publisher

IEEE

Cited by 7 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. Research on Change Detection Algorithms for Image Interaction and Edge Enhancement;2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2024-05-31

2. Adaptive Self-Paced Collaborative and 3-D Adversarial Multitask Network for Semantic Change Detection Using Zhuhai-1 Orbita Hyperspectral Remote Sensing Imagery;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. A Hyperspectral Change Detection Method Based on Active Learning Strategy;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

4. A full-level fused cross-task transfer learning method for building change detection using noise-robust pretrained networks on crowdsourced labels;Remote Sensing of Environment;2023-01

5. A Total Variation Regularized Bipartite Network for Unsupervised Change Detection;IEEE Transactions on Geoscience and Remote Sensing;2022

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