Jingyu Ji
Orcid: 0000-0001-6806-7437
According to our database1,
Jingyu Ji
authored at least 20 papers
between 2016 and 2022.
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Bibliography
2022
Path Planning of Unmanned Helicopter in Complex Dynamic Environment Based on State-Coded Deep Q-Network.
Symmetry, 2022
Infrared and Visible Image Fusion Based on Iterative Control of Anisotropic Diffusion and Regional Gradient Structure.
J. Sensors, 2022
Fusion of Infrared and Visible Images Based on Three-Scale Decomposition and ResNet Feature Transfer.
Entropy, 2022
End to End Infrared and Visible Image Fusion With Texture Details and Contrast Information.
IEEE Access, 2022
2019
Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification.
IEEE Trans. Geosci. Remote. Sens., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
FPGA Based Implementation of Convolutional Neural Network for Hyperspectral Classification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2017
Hyperspectral Image Classification by Exploring Low-Rank Property in Spectral or/and Spatial Domain.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network.
Remote. Sens., 2017
Invariant feature extraction for image classification via multi-channel convolutional neural network.
Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems, 2017
Fusing different levels of deep features by deep stacked neural network for hyperspectral images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Learning sensor-specific features for hyperspectral images via 3-dimensional convolutional autoencoder.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Exploring the influence of feature representation for dictionary selection based video summarization.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Exploring Kernel Based Spatial Context for CNN Based Hyperspectral Image Classification.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
2016
Spectral Variation Alleviation by Low-Rank Matrix Approximation for Hyperspectral Image Analysis.
IEEE Geosci. Remote. Sens. Lett., 2016
Integrating spectral and spatial information into deep convolutional Neural Networks for hyperspectral classification.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
How to fully explore the low-rank property for data recovery of hyperspectral images.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016