| Optimized kernel minimum noise fraction transformation for hyperspectral image classification L Gao, B Zhao, X Jia, W Liao, B Zhang Remote sensing 9 (6), 548, 2017 | 46 | 2017 |
| A new kernel method for hyperspectral image feature extraction B Zhao, L Gao, W Liao, B Zhang Geo-spatial information science 20 (4), 309-318, 2017 | 32 | 2017 |
| Unsupervised and supervised feature extraction methods for hyperspectral images based on mixtures of factor analyzers B Zhao, MO Ulfarsson, JR Sveinsson, J Chanussot Remote Sensing 12 (7), 1179, 2020 | 8 | 2020 |
| An optimized method of kernel minimum noise fraction for dimensionality reduction of hyperspectral imagery B Zhao, L Gao, B Zhang 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 48-51, 2016 | 6 | 2016 |
| Mixtures of factor analyzers and deep mixtures of factor analyzers dimensionality reduction algorithms for hyperspectral images classification B Zhao, MO Ulfarsson, JR Sveinsson, J Chanussot IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 2 | 2019 |
| Fusion of multi-scale hyperspectral and lidar features for tree species mapping W Liao, F Van Coillie, L Li, B Zhao, L Gao, W Philips, B Zhang 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 2 | 2017 |
| Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising B Zhao, JR Sveinsson, MO Ulfarsson, J Chanussot IGARSS 2020-IEEE International Geoscience and Remote Sensing Symposium, 2020 | 1 | 2020 |
| Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers B Zhao, JR Sveinsson, MO Ulfarsson, J Chanussot IGARSS 2020-IEEE International Geoscience and Remote Sensing Symposium, 2020 | 1 | 2020 |
| (Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification B Zhao, JR Sveinsson, MO Ulfarsson, J Chanussot IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 1 | 2019 |
| Predicting Classification Performance for Benchmark Hyperspectral Datasets B Zhao, HI Ragnarsson, MO Ulfarsson, G Cavallaro, JA Benediktsson IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | | 2022 |
| Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations B Zhao, MO Ulfarsson, JR Sveinsson, J Chanussot IEEE Transactions on Geoscience and Remote Sensing 60, 1-25, 2022 | | 2022 |
| Non-Local Means Low-Rank Approximation for Hyperspectral Denoising B Zhao, JR Sveinsson, MO Ulfarsson, J Chanussot 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4147 …, 2021 | | 2021 |
| Wavelet-Based Block Low-Rank Representations for Hyperspectral Denoising B Zhao, JR Sveinsson, MO Ulfarsson, J Chanussot 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2484 …, 2021 | | 2021 |
| Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images B Zhao, JR Sveinsson, MO Ulfarsson, J Chanussot IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | | 2020 |
Lianru GaoAerospace Information Research Institute, Chinese Academy of Sciences確認したメール アドレス: aircas.ac.cn
