| Graph convolutional networks for hyperspectral image classification D Hong, L Gao, J Yao, B Zhang, A Plaza, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 59 (7), 5966-5978, 2020 | 961 | 2020 |
| More diverse means better: Multimodal deep learning meets remote-sensing imagery classification D Hong, L Gao, N Yokoya, J Yao, J Chanussot, Q Du, B Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4340-4354, 2020 | 737 | 2020 |
| An augmented linear mixing model to address spectral variability for hyperspectral unmixing D Hong, N Yokoya, J Chanussot, XX Zhu IEEE Transactions on Image Processing 28 (4), 1923-1938, 2018 | 591 | 2018 |
| SpectralFormer: Rethinking hyperspectral image classification with transformers D Hong, Z Han, J Yao, L Gao, B Zhang, A Plaza, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 485 | 2021 |
| Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep: Overview and Toolbox B Rasti, D Hong, R Hang, P Ghamisi, X Kang, J Chanussot, ... IEEE Geoscience and Remote Sensing Magazine 8 (4), 60-88, 2020 | 401 | 2020 |
| Cascaded recurrent neural networks for hyperspectral image classification R Hang, Q Liu, D Hong, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5384-5394, 2019 | 365 | 2019 |
| Invariant attribute profiles: A spatial-frequency joint feature extractor for hyperspectral image classification D Hong, X Wu, P Ghamisi, J Chanussot, N Yokoya, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 58 (6), 3791-3808, 2020 | 228 | 2020 |
| Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification D Hong, N Yokoya, N Ge, J Chanussot, XX Zhu ISPRS journal of photogrammetry and remote sensing 147, 193-205, 2019 | 219 | 2019 |
| ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features X Wu, D Hong, J Tian, J Chanussot, W Li, R Tao IEEE Transactions on Geoscience and Remote Sensing 57 (7), 5146-5158, 2019 | 191 | 2019 |
| CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences D Hong, N Yokoya, J Chanussot, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 57 (7), 4349-4359, 2019 | 178 | 2019 |
| Classification of hyperspectral and LiDAR data using coupled CNNs R Hang, Z Li, P Ghamisi, D Hong, G Xia, Q Liu IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4939-4950, 2020 | 176 | 2020 |
| X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data D Hong, N Yokoya, GS Xia, J Chanussot, XX Zhu ISPRS Journal of Photogrammetry and Remote Sensing 167, 12-23, 2020 | 164 | 2020 |
| Interpretable hyperspectral artificial intelligence: When nonconvex modeling meets hyperspectral remote sensing D Hong, W He, N Yokoya, J Yao, L Gao, L Zhang, J Chanussot, X Zhu IEEE Geoscience and Remote Sensing Magazine 9 (2), 52-87, 2021 | 153 | 2021 |
| A novel hierarchical approach for multispectral palmprint recognition D Hong, W Liu, J Su, Z Pan, G Wang Neurocomputing 151, 511-521, 2015 | 141 | 2015 |
| Convolutional neural networks for multimodal remote sensing data classification X Wu, D Hong, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 60, 1-10, 2021 | 131 | 2021 |
| StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion X Liu, C Deng, J Chanussot, D Hong, B Zhao IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6552-6564, 2019 | 129 | 2019 |
| Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects M Ahmad, S Shabbir, SK Roy, D Hong, X Wu, J Yao, AM Khan, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 | 124* | 2021 |
| Fourier-based rotation-invariant feature boosting: An efficient framework for geospatial object detection X Wu, D Hong, J Chanussot, Y Xu, R Tao, Y Wang IEEE Geoscience and Remote Sensing Letters 17 (2), 302-306, 2020 | 121 | 2020 |
| Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction D Hong, N Yokoya, J Chanussot, J Xu, XX Zhu ISPRS journal of photogrammetry and remote sensing 158, 35-49, 2019 | 121 | 2019 |
| Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution J Yao, D Hong, J Chanussot, D Meng, X Zhu, Z Xu Proceedings of the European Conference on Computer Vision (ECCV), 208-224, 2020 | 118* | 2020 |
Jocelyn ChanussotGrenoble Institute of TechnologyVerified email at gipsa-lab.grenoble-inp.fr
