| 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 | 506 | 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 | 494 | 2019 |
| Spatiotemporal satellite image fusion using deep convolutional neural networks H Song, Q Liu, G Wang, R Hang, B Huang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 315 | 2018 |
| Bidirectional-convolutional LSTM based spectral-spatial feature learning for hyperspectral image classification Q Liu, F Zhou, R Hang, X Yuan Remote Sensing 9 (12), 1330, 2017 | 311 | 2017 |
| 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 | 297 | 2020 |
| Hyperspectral image classification with attention-aided CNNs R Hang, Z Li, Q Liu, P Ghamisi, SS Bhattacharyya IEEE Transactions on Geoscience and Remote Sensing 59 (3), 2281-2293, 2020 | 280 | 2020 |
| Hyperspectral image classification using spectral-spatial LSTMs F Zhou, R Hang, Q Liu, X Yuan Neurocomputing 328, 39-47, 2019 | 235 | 2019 |
| Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification Q Liu, R Hang, H Song, Z Li IEEE Transactions on Geoscience and Remote Sensing 56 (1), 117-126, 2017 | 207* | 2017 |
| Deep encoder–decoder networks for classification of hyperspectral and LiDAR data D Hong, L Gao, R Hang, B Zhang, J Chanussot IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 201 | 2020 |
| Classification of hyperspectral images via multitask generative adversarial networks R Hang, F Zhou, Q Liu, P Ghamisi IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1424-1436, 2020 | 125 | 2020 |
| Stacked Sparse Autoencoder (SSAE) based framework for nuclei patch classification on breast cancer histopathology J Xu, L Xiang, R Hang, J Wu IEEE International Symposium on Biomedical Imaging (ISBI), 999-1002, 2014 | 102 | 2014 |
| A 3-d-swin transformer-based hierarchical contrastive learning method for hyperspectral image classification X Huang, M Dong, J Li, X Guo IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 96 | 2022 |
| Pyramid fully convolutional network for hyperspectral and multispectral image fusion F Zhou, R Hang, Q Liu, X Yuan IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 90 | 2019 |
| Matrix-based discriminant subspace ensemble for hyperspectral image spatial–spectral feature fusion R Hang, Q Liu, H Song, Y Sun IEEE Transactions on Geoscience and Remote Sensing 54 (2), 783-794, 2015 | 90 | 2015 |
| Oceanic eddy identification using an AI scheme G Xu, C Cheng, W Yang, W Xie, L Kong, R Hang, F Ma, C Dong, J Yang Remote Sensing 11 (11), 1349, 2019 | 77 | 2019 |
| SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification Y Yuan, L Lin, Q Liu, R Hang, ZG Zhou International Journal of Applied Earth Observation and Geoinformation 106 …, 2022 | 74 | 2022 |
| Multiscale progressive segmentation network for high-resolution remote sensing imagery R Hang, P Yang, F Zhou, Q Liu IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 62 | 2022 |
| Spectral super-resolution network guided by intrinsic properties of hyperspectral imagery R Hang, Q Liu, Z Li IEEE Transactions on Image Processing 30, 7256-7265, 2021 | 60 | 2021 |
| Tropical cyclone intensity estimation using two-branch convolutional neural network from infrared and water vapor images R Zhang, Q Liu, R Hang IEEE Transactions on Geoscience and Remote Sensing 58 (1), 586-597, 2019 | 54 | 2019 |
| Privacy-preserving fall detection with deep learning on mmWave radar signal Y Sun, R Hang, Z Li, M Jin, K Xu 2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019 | 47 | 2019 |
Qingshan LiuNanjing University of Posts and TelecommunicationsVerified email at nuist.edu.cn
