| A graph-based semisupervised deep learning model for PolSAR image classification H Bi, J Sun, Z Xu IEEE Transactions on Geoscience and Remote Sensing 57 (4), 2116-2132, 2019 | 133 | 2019 |
| Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field H Bi, L Xu, X Cao, Y Xue, Z Xu IEEE Transactions on Image Processing 29, 6601 - 6614, 2020 | 92 | 2020 |
| An Active Deep Learning Approach for Minimally-Supervised PolSAR Image Classification H Bi, F Xu, Z Wei, Y Xue, Z Xu IEEE Transactions on Geoscience and Remote Sensing 57 (11), 9378-9395, 2019 | 92 | 2019 |
| Human Activity Recognition Based on Dynamic Active Learning H Bi, M Perello-Nieto, R Santos-Rodriguez, P Flach IEEE Journal of Biomedical and Health Informatics 25 (4), 922 - 934, 2021 | 55 | 2021 |
| Unsupervised PolSAR image classification using discriminative clustering H Bi, J Sun, Z Xu IEEE Transactions on Geoscience and Remote Sensing 55 (6), 3531-3544, 2017 | 50 | 2017 |
| An enhanced 3-D discrete wavelet transform for hyperspectral image classification X Cao, J Yao, X Fu, H Bi, D Hong IEEE Geoscience and Remote Sensing Letters 18 (6), 1104-1108, 2021 | 44 | 2021 |
| Gaussian Focal Loss: Learning Distribution Polarized Angle Prediction for Rotated Object Detection in Aerial Images J Wang, F Li, H Bi IEEE Transactions on Geoscience and Remote Sensing, 2022 | 39 | 2022 |
| PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field H Bi, J Yao, Z Wei, D Hong, J Chanussot IEEE Geoscience and Remote Sensing Letters 19, 4005205, 2022 | 21 | 2022 |
| An active semi‑supervised deep learning model for human activity recognition H Bi, MP Nieto, RS Rodriguez, P Flach, I Craddock Journal of Ambient Intelligence and Humanized Computing, 2022 | 15 | 2022 |
| Big Earth Data: a comprehensive analysis of visualization analytics issues P Merritt, H Bi, B Davis, C Windmill, Y Xue Big Earth Data 2 (4), 321-350, 2019 | 14 | 2019 |
| Polsar image classification based on three-dimensional wavelet texture features and Markov random field H Bi, L Xu, X Cao, Z Xu 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 13 | 2017 |
| Polsar Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field H Bi, R Santos-Rodriguez, P Flach IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 5 | 2020 |
| Unsupervised PolSAR Image Factorization with Deep Convolutional Networks H Bi, F Xu, Z Wei, Y Han, Y Cui, Y Xue, Z Xu 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019 | 5 | 2019 |
| Towards a Methodology for Acceptance Testing and Validation of Monitoring Bodyworn Devices EL Tonkin, MP Nieto, H Bi, A Vafeas 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020 | 4 | 2020 |
| A new phase unwrapping method based on region recognition and region expansion HX Bi, ZQ Wei International Journal of Remote Sensing 37 (22), 5287-5303, 2016 | 4 | 2016 |
| A graph-based semi-supervised polsar image classification method using deep convolutional neural networks W Zhi-qiang, B Hai-xia, X Liu Acta Electronica Sinica 48 (1), 66-74, 2020 | 3 | 2020 |
| PolSAR image classification using discriminative clustering H Bi, J Sun, Z Xu 2017 International Workshop on Remote Sensing with Intelligent Processing …, 2017 | 3 | 2017 |
| A survey: the Application of Deep Learning in PolSAR Image Classification H Bi, Z Wei Radar Science and Technology 19 (5), 539-557, 2021 | 2 | 2021 |
| State-of-the-art review of 3DPV technology: Structures and models Y Cui, J Zhu, S Zorasa, X Chenb, H Bi, Y Qiao, Z Soleimania Energy Conversion and Management 200, 112-130, 2019 | 2 | 2019 |
| A channel analysis method for ground-air wireless communication system W Zhiqiang, B Haixia, Z Zichao 2017 IEEE 17th International Conference on Communication Technology (ICCT …, 2017 | 1 | 2017 |
Xiangyong Cao (曹相湧)Associate Professor, Xi'an Jiaotong UniversityEmail được xác minh tại mail.xjtu.edu.cn
