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Chen, Yuxing
Chen, Yuxing
在 unitn.it 的电子邮件经过验证
标题
引用次数
引用次数
年份
Self-supervised Change Detection in Multi-view Remote Sensing Images
Y Chen, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2021
152*2021
Self-supervised SAR-optical data fusion of Sentinel-1/-2 images
Y Chen, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021
642021
MP-ResNet: Multipath residual network for the semantic segmentation of high-resolution PolSAR images
L Ding, K Zheng, D Lin, Y Chen, B Liu, J Li, L Bruzzone
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
402021
A self-supervised approach to pixel-level change detection in bi-temporal RS images
Y Chen, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2022
262022
ARU-net: Reduction of atmospheric phase screen in SAR interferometry using attention-based deep residual U-net
Y Chen, L Bruzzone, L Jiang, Q Sun
IEEE Transactions on Geoscience and Remote Sensing 59 (7), 5780-5793, 2020
242020
Monitoring permafrost deformation in the upstream Heihe River, Qilian Mountain by using multi-temporal Sentinel-1 InSAR dataset
YX Chen, LM JIANG, LL LIANG, ZW ZHOU
Chinese Journal of Geophysics 62 (7), 2441-2454, 2019
152019
Self-supervised change detection by fusing SAR and optical multi-temporal images
Y Chen, L Bruzzone
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3101 …, 2021
122021
Incomplete multimodal learning for remote sensing data fusion
Y Chen, M Zhao, L Bruzzone
arXiv preprint arXiv:2304.11381, 2023
42023
Self-supervised change detection in multi-view remote sensing images. arxiv 2021
Y Chen, L Bruzzone
arXiv preprint arXiv:2103.05969, 0
4
An Approach Based On Contrastive Learning And Vector Quantization to the Unsupervised Land-cover Segmentation of Multimodal images
Y Chen, L Bruzzone
2022 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2022
32022
Unsupervised CD in satellite image time series by contrastive learning and feature tracking
Y Chen, L Bruzzone
IEEE Transactions on Geoscience and Remote Sensing, 2024
22024
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