Yonghao Xu

According to our database, Yonghao Xu authored at least 35 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Robust Self-Ensembling Network for Hyperspectral Image Classification.

Yonghao Xu, Bo Du, Liangpei Zhang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

S³ANet: Spatial-Spectral Self-Attention Learning Network for Defending Against Adversarial Attacks in Hyperspectral Image Classification.

Yichu Xu, Yonghao Xu, Hongzan Jiao, Zhi Gao, Lefei Zhang

IEEE Trans. Geosci. Remote. Sens., 2024

Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing.

Tao Bai, Yiming Cao, Yonghao Xu, Bihan Wen

IEEE Trans. Geosci. Remote. Sens., 2024

Sen2Fire: A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Data.

Yonghao Xu, Amanda Berg, Leif Haglund

CoRR, 2024

2023

Self-Ensembling GAN for Cross-Domain Semantic Segmentation.

Yonghao Xu, Fengxiang He, Bo Du, Dacheng Tao, Liangpei Zhang

IEEE Trans. Multim., 2023

Can Spectral Information Work While Extracting Spatial Distribution? - An Online Spectral Information Compensation Network for HSI Classification.

Jiaqi Yang, Bo Du, Yonghao Xu, Liangpei Zhang

IEEE Trans. Image Process., 2023

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks.

Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter

IEEE Trans. Image Process., 2023

Backdoor Attacks for Remote Sensing Data With Wavelet Transform.

Nikolaus Dräger, Yonghao Xu, Pedram Ghamisi

IEEE Trans. Geosci. Remote. Sens., 2023

There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation.

Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hänsch

CoRR, 2023

Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models.

Weikang Yu, Yonghao Xu, Pedram Ghamisi

CoRR, 2023

Semi-supervised Classification for Remote Sensing Datasets.

Itza Hernandez-Sequeira, Rubén Fernández-Beltran, Yonghao Xu, Pedram Ghamisi, Filiberto Pla

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022

Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations.

Yonghao Xu, Pedram Ghamisi

IEEE Trans. Image Process., 2022

Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark.

Yonghao Xu, Pedram Ghamisi

IEEE Trans. Geosci. Remote. Sens., 2022

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection.

Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil

IEEE Trans. Geosci. Remote. Sens., 2022

Fine-Grained Classification of Urban Functional Zones and Landscape Pattern Analysis Using Hyperspectral Satellite Imagery: A Case Study of Wuhan.

Jingwen Yuan, Shugen Wang, Chen Wu, Yonghao Xu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery.

Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

AI Security for Geoscience and Remote Sensing: Challenges and Future Trends.

Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi

CoRR, 2022

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery.

Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi

CoRR, 2022

Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification.

Yonghao Xu, Weikang Yu, Pedram Ghamisi

Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

The Landslide4Sense Competition 2022.

Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter

Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

2021

Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification.

Yonghao Xu, Bo Du, Liangpei Zhang

IEEE Trans. Image Process., 2021

Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses.

Yonghao Xu, Bo Du, Liangpei Zhang

IEEE Trans. Geosci. Remote. Sens., 2021

Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification.

Di Wang, Bo Du, Liangpei Zhang, Yonghao Xu

IEEE Trans. Geosci. Remote. Sens., 2021

Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer.

Hongruixuan Chen, Chen Wu, Yonghao Xu, Bo Du

CoRR, 2021

Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision.

Yonghao Xu, Pedram Ghamisi

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

2020

Learning From Synthetic Images via Active Pseudo-Labeling.

Liangchen Song, Yonghao Xu, Lefei Zhang, Bo Du, Qian Zhang, Xinggang Wang

IEEE Trans. Image Process., 2020

Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification.

Yonghao Xu, Bo Du, Liangpei Zhang

IEEE Trans. Big Data, 2020

2019

Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest.

Yonghao Xu, Bo Du, Liangpei Zhang, Daniele Cerra, Miguel Pato, Emiliano Carmona, Saurabh Prasad, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Simultaneous Segmentation and Edge Detection for Hyperspectral Image Via a Deep Supervised and boundary-constrained Network.

Yonghao Xu, Bo Du, Liangpei Zhang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Fast Spatio-Temporal Residual Network for Video Super-Resolution.

Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation.

Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Spectral-Spatial Unified Networks for Hyperspectral Image Classification.

Yonghao Xu, Liangpei Zhang, Bo Du, Fan Zhang

IEEE Trans. Geosci. Remote. Sens., 2018

Can We Generate Good Samples for Hyperspectral Classification? - A Generative Adversarial Network Based Method.

Yonghao Xu, Bo Du, Liangpei Zhang

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing.

Yonghao Xu, Bo Du, Liangpei Zhang

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

A Band Grouping Based LSTM Algorithm for Hyperspectral Image Classification.

Yonghao Xu, Bo Du, Liangpei Zhang, Fan Zhang

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017