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Yonghao Xu
Yonghao Xu
Linköping University
Подтвержден адрес электронной почты в домене liu.se - Главная страница
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Процитировано
Процитировано
Год
Spectral–spatial unified networks for hyperspectral image classification
Y Xu, L Zhang, B Du, F Zhang
IEEE Transactions on Geoscience and Remote Sensing 56 (10), 5893-5909, 2018
3382018
Advanced multi-sensor optical remote sensing for urban land use and land cover classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
Y Xu, B Du, L Zhang, D Cerra, M Pato, E Carmona, S Prasad, N Yokoya, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
2932019
Hyperspectral image classification via a random patches network
Y Xu, B Du, F Zhang, L Zhang
ISPRS Journal of Photogrammetry and Remote Sensing 142, 344-357, 2018
2182018
Fast spatio-temporal residual network for video super-resolution
S Li, F He, B Du, L Zhang, Y Xu, D Tao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1652019
Beyond the patchwise classification: Spectral-spatial fully convolutional networks for hyperspectral image classification
Y Xu, B Du, L Zhang
IEEE Transactions on Big Data 6 (3), 492-506, 2019
1382019
Assessing the threat of adversarial examples on deep neural networks for remote sensing scene classification: Attacks and defenses
Y Xu, B Du, L Zhang
IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1604-1617, 2020
1262020
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
O Ghorbanzadeh, Y Xu, P Ghamisi, M Kopp, D Kreil
IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022
1102022
Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification
D Wang, B Du, L Zhang, Y Xu
IEEE Transactions on Geoscience and Remote Sensing, 2020
1032020
Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification
Y Xu, B Du, L Zhang
IEEE Transactions on Image Processing 30, 8671-8685, 2021
1002021
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark
Y Xu, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022
852022
Self-ensembling attention networks: Addressing domain shift for semantic segmentation
Y Xu, B Du, L Zhang, Q Zhang, G Wang, L Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5581-5588, 2019
782019
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery
O Ghorbanzadeh, Y Xu, H Zhao, J Wang, Y Zhong, D Zhao, Q Zang, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
632022
AI Security for Geoscience and Remote Sensing: Challenges and future trends
Y Xu, T Bai, W Yu, S Chang, PM Atkinson, P Ghamisi
IEEE Geoscience and Remote Sensing Magazine 11 (2), 60-85, 2023
522023
Learning from synthetic images via active pseudo-labeling
L Song, Y Xu, L Zhang, B Du, Q Zhang, X Wang
IEEE Transactions on Image Processing 29, 6452-6465, 2020
522020
Robust Self-Ensembling Network for Hyperspectral Image Classification
Y Xu, B Du, L Zhang
IEEE Transactions on Neural Networks and Learning Systems, 2022
402022
Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing
Y Xu, B Du, L Zhang
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
382018
Consistency-regularized region-growing network for semantic segmentation of urban scenes with point-level annotations
Y Xu, P Ghamisi
IEEE Transactions on Image Processing 31, 5038-5051, 2022
362022
Fine-grained classification of urban functional zones and landscape pattern analysis using hyperspectral satellite imagery: A case study of wuhan
J Yuan, S Wang, C Wu, Y Xu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
342022
Txt2Img-MHN: Remote sensing image generation from text using modern Hopfield networks
Y Xu, W Yu, P Ghamisi, M Kopp, S Hochreiter
IEEE Transactions on Image Processing, 2023
332023
There are no data like more data: Datasets for deep learning in earth observation
M Schmitt, SA Ahmadi, Y Xu, G Taşkin, U Verma, F Sica, R Hänsch
IEEE Geoscience and Remote Sensing Magazine 11 (3), 63-97, 2023
232023
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