| 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 | 1419 | 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 | 1113 | 2020 |
| 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 | 1065 | 2021 |
| 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 | 852 | 2018 |
| 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 | 513 | 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 | 495 | 2019 |
| UIU-Net: U-Net in U-Net for infrared small object detection X Wu, D Hong, J Chanussot IEEE Transactions on Image Processing 32, 364-376, 2022 | 385 | 2022 |
| SpectralGPT: Spectral remote sensing foundation model D Hong, B Zhang, X Li, Y Li, C Li, J Yao, N Yokoya, H Li, P Ghamisi, X Jia, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 378 | 2024 |
| Deep learning in multimodal remote sensing data fusion: A comprehensive review J Li, D Hong, L Gao, J Yao, K Zheng, B Zhang, J Chanussot International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 320 | 2022 |
| 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 | 315 | 2021 |
| 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 | 302 | 2020 |
| 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 | 285 | 2021 |
| 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 | 284 | 2020 |
| Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks D Hong, B Zhang, H Li, Y Li, J Yao, C Li, M Werner, J Chanussot, A Zipf, ... Remote Sensing of Environment 299, 113856, 2023 | 276 | 2023 |
| 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 | 256 | 2019 |
| Multimodal fusion transformer for remote sensing image classification SK Roy, A Deria, D Hong, B Rasti, A Plaza, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 61, 1-20, 2023 | 238 | 2023 |
| Progress and challenges in intelligent remote sensing satellite systems B Zhang, Y Wu, B Zhao, J Chanussot, D Hong, J Yao, L Gao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 236 | 2022 |
| 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 | 230 | 2020 |
| Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey X Wu, W Li, D Hong, R Tao, Q Du IEEE Geoscience and Remote Sensing Magazine 10 (1), 91-124, 2021 | 228 | 2021 |
| 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 | 227 | 2019 |
Jocelyn ChanussotINRIA, on leave from Grenoble INP在 grenoble-inp.fr 的电子邮件经过验证
