| BCUN: Bayesian fully convolutional neural network for hyperspectral spectral unmixing Y Fang, Y Wang, L Xu, R Zhuo, A Wong, DA Clausi IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 18 | 2022 |
| A depthwise separable fully convolutional ResNet with ConvCRF for semisupervised hyperspectral image classification Y Wang, K Li, L Xu, Q Wei, F Wang, Y Chen IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 18 | 2021 |
| Subpixel Mapping for Remote Sensing Imagery Based on Spatial Adaptive Attraction Model and Conditional Random Fields Y Chen, C Huang, C Yang, J Peng, J Zhang, Y Wang, Z Yao, G Chen, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 3 | 2023 |
| Unsupervised Bayesian subpixel mapping autoencoder network for hyperspectral images Y Fang, Y Wang, L Xu, Y Chen, A Wong, DA Clausi IEEE Transactions on Geoscience and Remote Sensing, 2023 | 2 | 2023 |
| A novel spectral-temporal Bayesian unmixing algorithm with spatial prior for Sentinel-2 time series R Zhuo, Y Fang, L Xu, Y Chen, Y Wang, J Peng Remote Sensing Letters 13 (5), 522-532, 2022 | 2 | 2022 |
| A Spatial–Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis Y Wang, R Zhuo, L Xu, Y Fang Remote Sensing 15 (15), 3782, 2023 | 1 | 2023 |
| A Transformer Model for Coastline Prediction in Weitou Bay, China Z Yang, G Wang, L Feng, Y Wang, G Wang, S Liang Remote Sensing 15 (19), 4771, 2023 | | 2023 |
| A Spatial–Temporal Depth-Wise Residual Network for Crop Sub-Pixel Mapping from MODIS Images Y Wang, Y Fang, W Zhong, R Zhuo, J Peng, L Xu Remote Sensing 14 (21), 5605, 2022 | | 2022 |
| Bayesian Subpixel Mapping Neural Network for Hyperspectral images Y Fang, L Xu, Y Wang, DA Clausi Journal of Computational Vision and Imaging Systems 8 (1), 27-29, 2022 | | 2022 |
Yuan FangUniversity of Waterloo, Department of Systems Design EngineeringVerified email at uwaterloo.ca
