| Multiscale residual network with mixed depthwise convolution for hyperspectral image classification H Gao, Y Yang, C Li, L Gao, B Zhang IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3396-3408, 2020 | 115 | 2020 |
| An efficient building extraction method from high spatial resolution remote sensing images based on improved mask R-CNN L Zhang, J Wu, Y Fan, H Gao, Y Shao Sensors 20 (5), 1465, 2020 | 92 | 2020 |
| In-situ water level measurement using NIR-imaging video camera Z Zhang, Y Zhou, H Liu, H Gao Flow Measurement and Instrumentation 67, 95-106, 2019 | 84 | 2019 |
| Deep belief network for spectral–spatial classification of hyperspectral remote sensor data C Li, Y Wang, X Zhang, H Gao, Y Yang, J Wang Sensors 19 (1), 204, 2019 | 78 | 2019 |
| Global to local: A hierarchical detection algorithm for hyperspectral image target detection Z Chen, Z Lu, H Gao, Y Zhang, J Zhao, D Hong, B Zhang IEEE transactions on geoscience and remote sensing 60, 1-15, 2022 | 72 | 2022 |
| Dual attention deep fusion semantic segmentation networks of large-scale satellite remote-sensing images X Li, F Xu, X Lyu, H Gao, Y Tong, S Cai, S Li, D Liu International Journal of Remote Sensing 42 (9), 3583-3610, 2021 | 68 | 2021 |
| Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation Z Chen, G Wu, H Gao, Y Ding, D Hong, B Zhang Expert systems with applications 232, 120828, 2023 | 57 | 2023 |
| Convolution Neural Network Based on Two‐Dimensional Spectrum for Hyperspectral Image Classification H Gao, S Lin, Y Yang, C Li, M Yang Journal of Sensors 2018 (1), 8602103, 2018 | 50 | 2018 |
| Grid network: Feature extraction in anisotropic perspective for hyperspectral image classification Z Chen, D Hong, H Gao IEEE geoscience and remote sensing letters, 2023 | 46 | 2023 |
| Underwater salient object detection by combining 2D and 3D visual features Z Chen, H Gao, Z Zhang, H Zhou, X Wang, Y Tian Neurocomputing 391, 249-259, 2020 | 44 | 2020 |
| Multi-branch fusion network for hyperspectral image classification H Gao, Y Yang, S Lei, C Li, H Zhou, X Qu Knowledge-Based Systems 167, 11-25, 2019 | 44 | 2019 |
| Multi-class remote sensing object recognition based on discriminative sparse representation X Wang, S Shen, C Ning, F Huang, H Gao Applied optics 55 (6), 1381-1394, 2016 | 44 | 2016 |
| A multiscale dual-branch feature fusion and attention network for hyperspectral images classification H Gao, Y Zhang, Z Chen, C Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 40 | 2021 |
| Runoff prediction method based on adaptive Elman neural network C Li, L Zhu, Z He, H Gao, Y Yang, D Yao, X Qu Water 11 (6), 1113, 2019 | 40 | 2019 |
| Joint alternate small convolution and feature reuse for hyperspectral image classification H Gao, Y Yang, C Li, H Zhou, X Qu ISPRS International Journal of Geo-Information 7 (9), 349, 2018 | 40 | 2018 |
| Hyperspectral remote sensing image classification based on maximum overlap pooling convolutional neural network C Li, SX Yang, Y Yang, H Gao, J Zhao, X Qu, Y Wang, D Yao, J Gao Sensors 18 (10), 3587, 2018 | 39 | 2018 |
| Temporal difference-guided network for hyperspectral image change detection Z Chen, Y Wang, H Gao, Y Ding, Q Zhong, D Hong, B Zhang International journal of remote sensing 44 (19), 6033-6059, 2023 | 38 | 2023 |
| Hyperspectral image classification with pre-activation residual attention network H Gao, Y Yang, D Yao, C Li IEEE Access 7, 176587-176599, 2019 | 37 | 2019 |
| A hyperspectral image classification method based on multi-discriminator generative adversarial networks H Gao, D Yao, M Wang, C Li, H Liu, Z Hua, J Wang Sensors 19 (15), 3269, 2019 | 37 | 2019 |
| Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples H Gao, Z Chen, F Xu International Journal of Applied Earth Observation and Geoinformation 107 …, 2022 | 35 | 2022 |