Semi-active convolutional neural networks for hyperspectral image classification

J Yao, X Cao, D Hong, X Wu, D Meng… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Owing to the powerful data representation ability of deep learning (DL) techniques,
tremendous progress has been recently made in hyperspectral image (HSI) classification …
被引用次数：63 相关文章

MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification

X Liu, X Gong, A Plaza, Z Cai, X Xiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) are widely used in hyperspectral image (HSI)
classification. However, the network architecture of CNNs is often designed manually, which …

[引用][C] Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification

J Yao, X Cao, D Hong, X Wu, D Meng… - … on Geoscience and …, 2022 - ui.adsabs.harvard.edu
Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification - NASA/ADS
Now on home page ads icon ads Enable full ADS view NASA/ADS Semi-Active Convolutional …

Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification

J Yao, X Cao, D Hong, X Wu, D Meng… - IEEE Transactions on …, 2022 - hal.science
Owing to the powerful data representation ability of deep learning (DL) techniques,
tremendous progress has been recently made in hyperspectral image (HSI) classification …

[引用][C] MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image Classification

X Liu, X Gong, A Plaza, Z Cai, X Xiao… - … on Geoscience and …, 2022 - ui.adsabs.harvard.edu
MO-CNN: Multiobjective Optimization of Convolutional Neural Networks for Hyperspectral Image
Classification - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …