| 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 | 61 | 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 | 44 | 2017 |
| 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 | 21 | 2022 |
| 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 | 12 | 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 | 8 | 2016 |
| challenges in intelligent remote sensing satellite systems., 2022, 15 B Zhang, Y Wu, B Zhao, J Chanussot, D Hong, J Yao, LG Progress DOI: https://doi. org/10.1109/JSTARS, 1814-1822, 2022 | 5 | 2022 |
| 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 | 3 | 2020 |
| 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 | 3 | 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 | 2 | 2022 |
| 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 | 2 | 2020 |
| 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 |
| 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 | 1 | 2021 |
| 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 |
| Spectral-Spatial Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification B Zhao, Z Yuan, J Sigurdsson, MO Ulfarsson IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Hyperspectral Image Denoising Using Low-Rank and Sparse Model Based Deep Unrolling B Zhao, MO Ulfarsson, J Sigurdsson IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Hyperspectral Image Denoising Using Low-Rank-Based Methods B Zhao | | 2021 |
| 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 |
Magnus UlfarssonProfessor, Electrical and Computer Engineering, University of IcelandVerified email at hi.is
