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Jingyu Ji
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2020 – today
- 2024
- [j11]Hanhua Zou
, Sanyou Zeng, Changhe Li, Jingyu Ji
A survey of machine learning and evolutionary computation for antenna modeling and optimization: Methods and challenges. Eng. Appl. Artif. Intell. 138: 109381 (2024) - [j10]Jiangyi Yao, Xiongwei Li, Yang Zhang, Kaiyan Chen, Danyang Zhang, Jingyu Ji:
Autonomous Navigation Control of Tracked Unmanned Vehicle Formation in Communication Restricted Environment. IEEE Trans. Veh. Technol. 73(11): 16063-16075 (2024) - 2022
- [j9]Jingyu Ji
End to End Infrared and Visible Image Fusion With Texture Details and Contrast Information. IEEE Access 10: 92410-92425 (2022) - [j8]Jingyu Ji, Yuhua Zhang, Yongjiang Hu, Yongke Li, Changlong Wang, Zhilong Lin, Fuyu Huang, Jiangyi Yao:
Fusion of Infrared and Visible Images Based on Three-Scale Decomposition and ResNet Feature Transfer. Entropy 24(10): 1356 (2022) - [j7]Jingyu Ji
Infrared and Visible Image Fusion Based on Iterative Control of Anisotropic Diffusion and Regional Gradient Structure. J. Sensors 2022: 1-10 (2022) - [j6]Jiangyi Yao, Xiongwei Li, Yang Zhang, Jingyu Ji, Yanchao Wang, Yicen Liu
Path Planning of Unmanned Helicopter in Complex Dynamic Environment Based on State-Coded Deep Q-Network. Symmetry 14(5): 856 (2022)
2010 – 2019
- 2019
- [j5]Shaohui Mei
Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification. IEEE Trans. Geosci. Remote. Sens. 57(9): 6808-6820 (2019) - [c11]Xiao Liu, Shaohui Mei, Zhi Zhang, Yifan Zhang, Jingyu Ji, Qian Du
Decs-Net: Convolutional Self-Encoding Network for Hyperspectral Image Denoising. IGARSS 2019: 1951-1954 - 2018
- [c10]Xiaofeng Chen, Jingyu Ji, Shaohui Mei, Yifan Zhang, Manli Han, Qian Du
FPGA Based Implementation of Convolutional Neural Network for Hyperspectral Classification. IGARSS 2018: 2451-2454 - [c9]Zhongqi Tian, Jingyu Ji, Shaohui Mei, Junhui Hou
Hyperspectral Classification Via Spatial Context Exploration with Multi-Scale CNN. IGARSS 2018: 2563-2566 - 2017
- [j4]Shaohui Mei
Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network. Remote. Sens. 9(11): 1139 (2017) - [j3]Shaohui Mei, Qianqian Bi, Jingyu Ji, Junhui Hou
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) - [j2]Shaohui Mei
Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 55(8): 4520-4533 (2017) - [c8]Jingyu Ji, Shaohui Mei, Xiao Liu, Xu Li, Shan Zeng, Zhiyong Wang:
Exploring Kernel Based Spatial Context for CNN Based Hyperspectral Image Classification. DICTA 2017: 1-7 - [c7]Mingyang Ma, Shaohui Mei, Jingyu Ji, Shuai Wan, Zhiyong Wang, Dagan Feng:
Exploring the influence of feature representation for dictionary selection based video summarization. ICIP 2017: 2911-2915 - [c6]Shaohui Mei, Xin Yuan
Hyperspectral image super-resolution via convolutional neural network. ICIP 2017: 4297-4301 - [c5]Shaohui Mei, Yanfu Chen, Jingyu Ji, Junhui Hou
Fusing different levels of deep features by deep stacked neural network for hyperspectral images. IGARSS 2017: 759-762 - [c4]Jingyu Ji, Shaohui Mei, Junhui Hou
Learning sensor-specific features for hyperspectral images via 3-dimensional convolutional autoencoder. IGARSS 2017: 1820-1823 - [c3]Shaohui Mei, Ruoqiao Jiang, Jingyu Ji, Jun Sun, Yang Peng, Yifan Zhang:
Invariant feature extraction for image classification via multi-channel convolutional neural network. ISPACS 2017: 491-495 - 2016
- [j1]Shaohui Mei, Qianqian Bi, Jingyu Ji, Junhui Hou
Spectral Variation Alleviation by Low-Rank Matrix Approximation for Hyperspectral Image Analysis. IEEE Geosci. Remote. Sens. Lett. 13(6): 796-800 (2016) - [c2]Shaohui Mei, Qianqian Bi, Jingyu Ji, Junhui Hou
How to fully explore the low-rank property for data recovery of hyperspectral images. IGARSS 2016: 3314-3317 - [c1]Shaohui Mei, Jingyu Ji, Qianqian Bi, Junhui Hou
Integrating spectral and spatial information into deep convolutional Neural Networks for hyperspectral classification. IGARSS 2016: 5067-5070
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