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Disambiguation of "Ji, Jingyu"

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Invariant feature extraction for image classification via multi-channel convolutional neural network.

, , , , , and . ISPACS, page 491-495. IEEE, (2017)

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Jingyu Shi

Jingyu Yan

Jingyu Shao

Hui Ji

Ji Haas

 

Other publications of authors with the same name

Exploring Kernel Based Spatial Context for CNN Based Hyperspectral Image Classification., , , , , and . DICTA, page 1-7. IEEE, (2017)Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks., , , , and . IEEE Trans. Geosci. Remote. Sens., 55 (8): 4520-4533 (2017)Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification., , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (9): 6808-6820 (2019)Fusion of Infrared and Visible Images Based on Three-Scale Decomposition and ResNet Feature Transfer., , , , , , , and . Entropy, 24 (10): 1356 (2022)Decs-Net: Convolutional Self-Encoding Network for Hyperspectral Image Denoising., , , , , and . IGARSS, page 1951-1954. IEEE, (2019)How to fully explore the low-rank property for data recovery of hyperspectral images., , , , and . IGARSS, page 3314-3317. IEEE, (2016)Hyperspectral image super-resolution via convolutional neural network., , , , , and . ICIP, page 4297-4301. IEEE, (2017)Spectral Variation Alleviation by Low-Rank Matrix Approximation for Hyperspectral Image Analysis., , , , and . IEEE Geosci. Remote. Sens. Lett., 13 (6): 796-800 (2016)Infrared and Visible Image Fusion Based on Iterative Control of Anisotropic Diffusion and Regional Gradient Structure., , , , , , and . J. Sensors, (2022)Fusing different levels of deep features by deep stacked neural network for hyperspectral images., , , , and . IGARSS, page 759-762. IEEE, (2017)