| Spectral–spatial feature extraction for hyperspectral image classification: A dimension reduction and deep learning approach W Zhao, S Du IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4544-4554, 2016 | 1161 | 2016 |
| Spectral–spatial classification of hyperspectral images using deep convolutional neural networks J Yue, W Zhao, S Mao, H Liu Remote Sensing Letters 6 (6), 468-477, 2015 | 573 | 2015 |
| Learning multiscale and deep representations for classifying remotely sensed imagery W Zhao, S Du ISPRS Journal of Photogrammetry and Remote Sensing 113, 155-165, 2016 | 414 | 2016 |
| Object-based convolutional neural network for high-resolution imagery classification W Zhao, S Du, WJ Emery IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 252 | 2017 |
| On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery W Zhao, Z Guo, J Yue, X Zhang, L Luo International Journal of Remote Sensing 36 (13), 3368-3379, 2015 | 212 | 2015 |
| Contextually guided very-high-resolution imagery classification with semantic segments W Zhao, S Du, Q Wang, WJ Emery ISPRS journal of Photogrammetry and Remote Sensing 132, 48-60, 2017 | 117 | 2017 |
| Deeply synergistic optical and SAR time series for crop dynamic monitoring W Zhao, Y Qu, J Chen, Z Yuan Remote Sensing of Environment 247, 111952, 2020 | 86 | 2020 |
| Exploring semantic elements for urban scene recognition: Deep integration of high-resolution imagery and OpenStreetMap (OSM) W Zhao, Y Bo, J Chen, D Tiede, T Blaschke, WJ Emery ISPRS Journal of Photogrammetry and Remote Sensing 151, 237-250, 2019 | 69 | 2019 |
| Incorporating metric learning and adversarial network for seasonal invariant change detection W Zhao, L Mou, J Chen, Y Bo, WJ Emery IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2720-2731, 2019 | 68 | 2019 |
| Scene classification using multi-scale deeply described visual words W Zhao, S Du International Journal of Remote Sensing 37 (17), 4119-4131, 2016 | 64 | 2016 |
| High resolution distribution dataset of double-season paddy rice in china B Pan, Y Zheng, R Shen, T Ye, W Zhao, J Dong, H Ma, W Yuan Remote Sensing 13 (22), 4609, 2021 | 50 | 2021 |
| Using adversarial network for multiple change detection in bitemporal remote sensing imagery W Zhao, X Chen, X Ge, J Chen IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 39 | 2020 |
| Crop mapping from sentinel-1 polarimetric time-series with a deep neural network Y Qu, W Zhao, Z Yuan, J Chen Remote Sensing 12 (15), 2493, 2020 | 38 | 2020 |
| A 30 m resolution distribution map of maize for china based on landsat and sentinel images R Shen, J Dong, W Yuan, W Han, T Ye, W Zhao Journal of Remote Sensing, 2022 | 34 | 2022 |
| Life-long learning with continual spectral-spatial feature distillation for hyperspectral image classification W Zhao, R Peng, Q Wang, C Cheng, WJ Emery, L Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 32 | 2022 |
| Sample generation with self-attention generative adversarial adaptation network (SaGAAN) for hyperspectral image classification W Zhao, X Chen, J Chen, Y Qu Remote Sensing 12 (5), 843, 2020 | 28 | 2020 |
| Spatial-aware SAR-optical time-series deep integration for crop phenology tracking W Zhao, Y Qu, L Zhang, K Li Remote Sensing of Environment 276, 113046, 2022 | 27 | 2022 |
| Mapping crop rotation by using deeply synergistic optical and SAR time series Y Liu, W Zhao, S Chen, T Ye Remote Sensing 13 (20), 4160, 2021 | 23 | 2021 |
| Semisupervised hyperspectral image classification with cluster-based conditional generative adversarial net W Zhao, X Chen, Y Bo, J Chen IEEE Geoscience and Remote Sensing Letters 17 (3), 539-543, 2019 | 22 | 2019 |
| A satellite-based method for national winter wheat yield estimating in China Y Fu, J Huang, Y Shen, S Liu, Y Huang, J Dong, W Han, T Ye, W Zhao, ... Remote Sensing 13 (22), 4680, 2021 | 21 | 2021 |
William EmeryProfessor of Aerospace Engineering Sciences, University of ColoradoEmail yang diverifikasi di colorado.edu