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Han Zhai
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2020 – today
- 2024
- [j19]Han Zhai
, Jie Zhao:
Two-Stream spectral-spatial convolutional capsule network for Hyperspectral image classification. Int. J. Appl. Earth Obs. Geoinformation 127: 103614 (2024) - [j18]Han Zhai
Hyperspectral Image Classification Based on Atrous Convolution Channel Attention-Aided Dense Convolutional Neural Network. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j17]Chao Yang, Han Zhai
Multi-Scenario Simulation of Land System Change in the Guangdong-Hong Kong-Macao Greater Bay Area Based on a Cellular Automata-Markov Model. Remote. Sens. 16(9): 1512 (2024) - [j16]Han Zhai
AMCD-Net: An Effective Attention-Aided Multilevel Cloud Detection Network for Optical Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-21 (2024) - 2023
- [j15]Xuchong Zhang, Han Zhai
Real-time infrared and visible image fusion network using adaptive pixel weighting strategy. Inf. Fusion 99: 101863 (2023) - [c4]Xuan Dong, Jiajun Xie, Kelong Tu, Kunlun Qi, Chao Yang, Han Zhai:
DSFNet: Dual-Stream-Fusion Network for Farmland Parcel Mapping in High-Resolution Satellite Images. Agro-Geoinformatics 2023: 1-6 - 2022
- [j14]Xuchong Zhang, Yongli Zhao, Hang Wang, Han Zhai, Hongbin Sun, Nanning Zheng:
End-to-end learning of self-rectification and self-supervised disparity prediction for stereo vision. Neurocomputing 494: 308-319 (2022) - [j13]Han Zhai
Double Attention Based Multilevel One-Dimensional Convolution Neural Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3771-3787 (2022) - 2021
- [j12]Hongyan Zhang, Qi Huang, Han Zhai, Liangpei Zhang:
Multi-temporal cloud detection based on robust PCA for optical remote sensing imagery. Comput. Electron. Agric. 188: 106342 (2021) - [j11]Kunlun Qi, Chao Yang, Chuli Hu, Han Zhai, Qingfeng Guan
A multi-level improved circle pooling for scene classification of high-resolution remote sensing imagery. Neurocomputing 462: 506-522 (2021) - [j10]Han Zhai, Chaoqun Lv, Wanzeng Liu, Chao Yang, Dasheng Fan, Zikun Wang, Qingfeng Guan
Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000-2019. Remote. Sens. 13(16): 3331 (2021) - [j9]Yonglin Shen
A Gaussian Kernel-Based Spatiotemporal Fusion Model for Agricultural Remote Sensing Monitoring. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3533-3545 (2021) - [j8]Han Zhai, Hongyan Zhang
Nonlocal Means Regularized Sketched Reweighted Sparse and Low-Rank Subspace Clustering for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(5): 4164-4178 (2021) - [j7]Han Zhai, Hongyan Zhang
Sparsity-Based Clustering for Large Hyperspectral Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 59(12): 10410-10424 (2021) - 2020
- [j6]Xinkai Liu, Han Zhai, Yonglin Shen
Large-Scale Crop Mapping From Multisource Remote Sensing Images in Google Earth Engine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 414-427 (2020)
2010 – 2019
- 2019
- [j5]Han Zhai, Hongyan Zhang
Total Variation Regularized Collaborative Representation Clustering With a Locally Adaptive Dictionary for Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 57(1): 166-180 (2019) - [j4]Han Zhai, Hongyan Zhang
Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection. IEEE Trans. Geosci. Remote. Sens. 57(3): 1723-1740 (2019) - 2017
- [j3]Han Zhai, Hongyan Zhang
A New Sparse Subspace Clustering Algorithm for Hyperspectral Remote Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. 14(1): 43-47 (2017) - [j2]Han Zhai, Hongyan Zhang, Xiong Xu, Liangpei Zhang, Pingxiang Li:
Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation. Remote. Sens. 9(4): 335 (2017) - [c3]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li:
Total variation regularized collaborative representation clustering with a locally adaptive dictionary for hyperspectral remote sensing imagery. IGARSS 2017: 3755-3758 - 2016
- [j1]Hongyan Zhang, Han Zhai, Liangpei Zhang, Pingxiang Li:
Spectral-Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 54(6): 3672-3684 (2016) - [c2]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li:
Squaring weighted low-rank subspace clustering for hyperspectral image band selection. IGARSS 2016: 2434-2437 - 2015
- [c1]Han Zhai, Hongyan Zhang, Liangpei Zhang, Pingxiang Li, Xiong Xu:
Spectral-spatial clustering of hyperspectral remote sensing image with sparse subspace clustering model. WHISPERS 2015: 1-4
Coauthor Index
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