A Band Grouping Based LSTM Algorithm for Hyperspectral Image Classification. - Yonghao Xu; Bo Du 001; Liangpei Zhang 001; Fan Zhang 006 (CCCV (2), 2017)

Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing. - Yonghao Xu; Bo Du 001; Liangpei Zhang 001 (IGARSS, 2018)

Can We Generate Good Samples for Hyperspectral Classification? - A Generative Adversarial Network Based Method. - Yonghao Xu; Bo Du 001; Liangpei Zhang 001 (IGARSS, 2018)

Spectral-Spatial Unified Networks for Hyperspectral Image Classification. - Yonghao Xu; Liangpei Zhang 001; Bo Du 001; Fan Zhang 006 (IEEE Trans. Geosci. Remote. Sens., 2018)

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation. - Yonghao Xu; Bo Du 001; Lefei Zhang; Qian Zhang 009; Guoli Wang 004; Liangpei Zhang 001 (AAAI, 2019)

Fast Spatio-Temporal Residual Network for Video Super-Resolution. - Sheng Li 001; Fengxiang He; Bo Du 001; Lefei Zhang; Yonghao Xu; Dacheng Tao (CVPR, 2019)

Simultaneous Segmentation and Edge Detection for Hyperspectral Image Via a Deep Supervised and boundary-constrained Network. - Yonghao Xu; Bo Du 001; Liangpei Zhang 001 (IGARSS, 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 001; Liangpei Zhang 001; 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)

Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification. - Yonghao Xu; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Big Data, 2020)

Learning From Synthetic Images via Active Pseudo-Labeling. - Liangchen Song; Yonghao Xu; Lefei Zhang; Bo Du 001; Qian Zhang 009; Xinggang Wang (IEEE Trans. Image Process., 2020)

Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision. - Yonghao Xu; Pedram Ghamisi (CIKM Workshops, 2021)

Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer. - Hongruixuan Chen; Chen Wu 003; Yonghao Xu; Bo Du 001 (CoRR, 2021)

Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification. - Di Wang 023; Bo Du 001; Liangpei Zhang 001; Yonghao Xu (IEEE Trans. Geosci. Remote. Sens., 2021)

Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses. - Yonghao Xu; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification. - Yonghao Xu; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Image Process., 2021)

The Landslide4Sense Competition 2022. - Pedram Ghamisi; Omid Ghorbanzadeh; Yonghao Xu; Pedro Herruzo; David P. Kreil; Michael Kopp 001; Sepp Hochreiter (CDCEO@IJCAI, 2022)

Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification. - Yonghao Xu; Weikang Yu; Pedram Ghamisi (CDCEO@IJCAI, 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 001; Fahong Zhang 001; Yilei Shi; Xiao Xiang Zhu 001; Lin Bai; et al. (CoRR, 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 Multisource Satellite Imagery. - Omid Ghorbanzadeh; Yonghao Xu; Hengwei Zhao; Junjue Wang; Yanfei Zhong; Dong Zhao; Qi Zang; Shuang Wang 001; Fahong Zhang 001; Yilei Shi; Xiao Xiang Zhu 001; Lin Bai; et al. (IEEE J. Sel. Top. Appl. Earth Obs. 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 003; Yonghao Xu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. - Omid Ghorbanzadeh; Yonghao Xu; Pedram Ghamisi; Michael Kopp 001; David P. Kreil (IEEE Trans. Geosci. Remote. Sens., 2022)

Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. - Yonghao Xu; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 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)

Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. - Omid Ghorbanzadeh; Yonghao Xu; Pedram Ghamisi; Michael Kopp 001; David P. Kreil (Zenodo, 2022)

Semi-supervised Classification for Remote Sensing Datasets. - Itza Hernandez-Sequeira; Rubén Fernández-Beltran; Yonghao Xu; Pedram Ghamisi; Filiberto Pla (ICIAP (1), 2023)

There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation. - Michael Schmitt 003; Seyed Ali Ahmadi; Yonghao Xu; Gülsen Taskin 001; Ujjwal Verma; Francescopaolo Sica; Ronny Hänsch (CoRR, 2023)

Backdoor Attacks for Remote Sensing Data With Wavelet Transform. - Nikolaus Dräger; Yonghao Xu; Pedram Ghamisi (IEEE Trans. Geosci. Remote. Sens., 2023)

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks. - Yonghao Xu; Weikang Yu; Pedram Ghamisi; Michael Kopp 001; Sepp Hochreiter (IEEE Trans. Image Process., 2023)

Can Spectral Information Work While Extracting Spatial Distribution? - An Online Spectral Information Compensation Network for HSI Classification. - Jiaqi Yang 005; Bo Du 001; Yonghao Xu; Liangpei Zhang 001 (IEEE Trans. Image Process., 2023)

Self-Ensembling GAN for Cross-Domain Semantic Segmentation. - Yonghao Xu; Fengxiang He; Bo Du 001; Dacheng Tao; Liangpei Zhang 001 (IEEE Trans. Multim., 2023)

Flexible Distribution Alignment: Towards Long-Tailed Semi-supervised Learning with Proper Calibration. - Emanuel Sanchez Aimar; Nathaniel Helgesen; Yonghao Xu; Marco Kuhlmann; Michael Felsberg (ECCV (54), 2024)

SEN2FIRE: A Challenging Benchmark Dataset for Wildfire Detection Using Sentinel Data. - Yonghao Xu; Amanda Berg; Leif Haglund (IGARSS, 2024)

Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models. - Weikang Yu; Yonghao Xu; Pedram Ghamisi (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data. - Yonghao Xu; Pedram Ghamisi; Yannis Avrithis (CoRR, 2024)

Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing. - Tao Bai; Yiming Cao; Yonghao Xu; Bihan Wen (IEEE Trans. Geosci. Remote. Sens., 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)

Robust Self-Ensembling Network for Hyperspectral Image Classification. - Yonghao Xu; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data. - Justus Karlsson; Yonghao Xu; Amanda Berg; Leif Haglund (SCIA (2), 2025)

On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing. - Tao Bai; Xingjian Tian; Yonghao Xu; Bihan Wen (CoRR, 2025)

Comparing Satellite Data for Next-Day Wildfire Predictability. - Justus Karlsson; Yonghao Xu; Amanda Berg; Leif Haglund (CoRR, 2025)