Convolutional Neural Network

A. Jamali, S. K. Roy, A. Bhattacharya, and P. Ghamisi (2023) Local Window Attention Transformer for Polarimetric SAR Image Classification. IEEE Geoscience and Remote Sensing Letters, 2023-01-23. (more) (download)

L. Huang, Y. Chen, X. He, and P. Ghamisi (2022) Supervised Contrastive Learning-Based Classification for Hyperspectral Image. Remote Sensing, 14, 21, 5530, 2022-11-02. (more) (download)

Y. Xu, B. Du, and L. Zhang (2022) Robust Self-Ensembling Network for Hyperspectral Image Classification. IEEE Transactions on Neural Networks and Learning Systems, 2022-08-19. (more) (download)

Y. Xu & P. Ghamisi (2022) Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations. IEEE Transactions on Image Processing, 2022-07-25. (more) (download)

B. Rasti, P. Ghamisi, and R. Gloaguen (2022) Unsupervised Deep Hyperspectral Inpainting Using a New Mixing Model. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 1221-1224, 2022-07-17. (more) (download)

W. Wang, Y. Chen, and P. Ghamisi (2022) Transferring CNN with Adaptive Learning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing, 60, 2022-07-14. (more) (download)

Z. Li, F. Lu, H. Zhang, L. Tu, J. Li, X. Huang, C. Robinson, K. Malkin, N. Jojic, P. Ghamisi, R. Hansch, and N. Yokoya (2022) The Outcome of the 2021 IEEE GRSS Data Fusion Contest-Track MSD: Multitemporal Semantic Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2022-01-24. (more) (download)

M. Lu, L. Fang, M. Li, B. Zhang, Y. Zhang, and P. Ghamisi (2022) NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-14, 2022-01-04. (more) (download)

Y. Ma, Y. Li, K. Feng, Y. Xia, Q. Huang, H. Zhang, C. Prieur, G. Licciardi, H. Malha, J. Chanussot, P. Ghamisi, R. Hansch, and N. Yokoya (2021) The Outcome of the 2021 IEEE GRSS Data Fusion Contest – Track DSE: Detection of Settlements Without Electricity. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 12375, 2021-11-24. (more) (download)

Q. Li, Y. Chen, and P. Ghamisi (2021) Complementary Learning-Based Scene Classification of Remote Sensing Images With Noisy Labels. IEEE Geoscience and Remote Sensing Letters, 2021-09-29. (more) (download)

O. Ghorbanzadeh, A. Crivellari, P. Ghamisi, H. Shahabi, and T. Blaschke (2021) A Comprehensive Transferability Evaluation of U-Net and ResU-Net for Landslide Detection from Sentinel-2 Data. Scientific Reports, 11, 14629, 2021-07-16. (more) (download)

B. Rasti, B. Koirala, P. Scheunders, and P. Ghamisi (2021) Spectral Unmixing Using Deep Convolutional Encoder-Decoder. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3829-3832, 2021-07-11. (more) (download)

H. Xie, Y. Chen, and a. P. Ghamisi (2021) Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint. Remote Sensing, 13, 2566, 2021-06-30. (more) (download)

B. Rasti, B. Koirala, P. Scheunders, and P. Ghamisi (2021) UnDIP: Hyperspectral Unmixing Using Deep Image Prior. IEEE Transactions on Geoscience and Remote Sensing, 2021-03-31. (more) (download)

X. He, Y. Chen, and P. Ghamisi (2021) Dual Graph Convolutional Network for Hyperspectral Image Classification with Limited Training Samples. IEEE Transactions on Geoscience and Remote Sensing, 2021-03-08. (more) (download)

C. Robinson, K. Malkin, N. Jojic, H. Chen, R. Qin, C. Xiao, M. Schmitt, P. Ghamisi, R. Hansch, and N. Yokoya (2021) Global Land Cover Mapping with Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021-03-04. (more) (download)

H. Martin, D. Bucher, Y. Hong, R. Buffat, C. Rupprecht, and M. Raubal (2020) Graph-ResNets for short-term traffic forecasts in almost unknown cities. Proceedings of the NeurIPS 2019 Competition and Demonstration Track, PMLR 123, 153-163, 2020-08-19. (more) (download)

M. Hofmarcher, E. Rumetshofer, D.-A. Clevert, S. Hochreiter, and G. Klambauer (2019) Accurate prediction of biological assays with high-throughput microscopy images and convolutional networks. Journal of Chemical Information and Modeling, 59, 3, 1163, 2019-03-06. (more) (download)

E. Rumetshofer, M. Hofmarcher, C. Röhrl, S. Hochreiter, and G. Klambauer (2019) Human-level Protein Localization with Convolutional Neural Networks. International Conference on Learning Representations, ICLR 2019, New Orleans, 6-9 May. (more) (download)