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Junhui Hou
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Publications
- 2023
- [j97]Yang-Jun Deng, Heng-Chao Li, Siqiao Tan, Junhui Hou, Qian Du, Antonio Plaza:
t-Linear Tensor Subspace Learning for Robust Feature Extraction of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - 2022
- [j89]Shaohui Mei, Yunhao Geng, Junhui Hou, Qian Du:
Learning hyperspectral images from RGB images via a coarse-to-fine CNN. Sci. China Inf. Sci. 65(5): 1-14 (2022) - 2021
- [j57]Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du:
Superpixel-Guided Discriminative Low-Rank Representation of Hyperspectral Images for Classification. IEEE Trans. Image Process. 30: 8823-8835 (2021) - [i43]Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du:
Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification. CoRR abs/2108.11172 (2021) - 2020
- [j49]Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du:
Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries. IEEE Geosci. Remote. Sens. Lett. 17(9): 1598-1602 (2020) - 2019
- [j30]Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du:
Pseudolabel Guided Kernel Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(3): 1000-1011 (2019) - 2018
- [j21]Shaohui Mei, Junhui Hou, Jie Chen, Lap-Pui Chau, Qian Du:
Simultaneous Spatial and Spectral Low-Rank Representation of Hyperspectral Images for Classification. IEEE Trans. Geosci. Remote. Sens. 56(5): 2872-2886 (2018) - [c34]Zhongqi Tian, Jingyu Ji, Shaohui Mei, Junhui Hou, Shuai Wan, Qian Du:
Hyperspectral Classification Via Spatial Context Exploration with Multi-Scale CNN. IGARSS 2018: 2563-2566 - 2017
- [j15]Shaohui Mei, Qianqian Bi, Jingyu Ji, Junhui Hou, Qian Du:
Hyperspectral Image Classification by Exploring Low-Rank Property in Spectral or/and Spatial Domain. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(6): 2910-2921 (2017) - [j13]Shaohui Mei, Jingyu Ji, Junhui Hou, Xu Li, Qian Du:
Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55(8): 4520-4533 (2017) - [c29]Shaohui Mei, Xin Yuan, Jingyu Ji, Shuai Wan, Junhui Hou, Qian Du:
Hyperspectral image super-resolution via convolutional neural network. ICIP 2017: 4297-4301 - [c27]Shaohui Mei, Yanfu Chen, Jingyu Ji, Junhui Hou, Qian Du:
Fusing different levels of deep features by deep stacked neural network for hyperspectral images. IGARSS 2017: 759-762 - [c26]Jingyu Ji, Shaohui Mei, Junhui Hou, Xu Li, Qian Du:
Learning sensor-specific features for hyperspectral images via 3-dimensional convolutional autoencoder. IGARSS 2017: 1820-1823 - 2016
- [j11]Shaohui Mei, Qianqian Bi, Jingyu Ji, Junhui Hou, Qian Du:
Spectral Variation Alleviation by Low-Rank Matrix Approximation for Hyperspectral Image Analysis. IEEE Geosci. Remote. Sens. Lett. 13(6): 796-800 (2016) - [c13]Shaohui Mei, Qianqian Bi, Jingyu Ji, Junhui Hou, Qian Du:
How to fully explore the low-rank property for data recovery of hyperspectral images. IGARSS 2016: 3314-3317 - [c12]Shaohui Mei, Jingyu Ji, Qianqian Bi, Junhui Hou, Qian Du, Wei Li:
Integrating spectral and spatial information into deep convolutional Neural Networks for hyperspectral classification. IGARSS 2016: 5067-5070
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