[HTML][HTML] AI-TFNet: Active Inference Transfer Convolutional Fusion Network for Hyperspectral Image Classification
J Wang, L Li, Y Liu, J Hu, X Xiao, B Liu - Remote Sensing, 2023 - mdpi.com
The realization of efficient classification with limited labeled samples is a critical task in
hyperspectral image classification (HSIC). Convolutional neural networks (CNNs) have …
hyperspectral image classification (HSIC). Convolutional neural networks (CNNs) have …
AI-TFNet: Active Inference Transfer Convolutional Fusion Network for Hyperspectral Image Classification
J Wang, L Li, Y Liu, J Hu, X Xiao, B Liu - Remote Sensing, 2023 - ui.adsabs.harvard.edu
The realization of efficient classification with limited labeled samples is a critical task in
hyperspectral image classification (HSIC). Convolutional neural networks (CNNs) have …
hyperspectral image classification (HSIC). Convolutional neural networks (CNNs) have …
AI-TFNet: Active Inference Transfer Convolutional Fusion Network for Hyperspectral Image Classification.
J Wang, L Li, Y Liu, J Hu, X Xiao, B Liu - Remote Sensing, 2023 - search.ebscohost.com
The realization of efficient classification with limited labeled samples is a critical task in
hyperspectral image classification (HSIC). Convolutional neural networks (CNNs) have …
hyperspectral image classification (HSIC). Convolutional neural networks (CNNs) have …
AI-TFNet: Active Inference Transfer Convolutional Fusion Network for Hyperspectral Image Classification
J Wang, L Li, Y Liu, J Hu, X Xiao, B Liu - Remote Sensing, 2023 - search.proquest.com
The realization of efficient classification with limited labeled samples is a critical task in
hyperspectral image classification (HSIC). Convolutional neural networks (CNNs) have …
hyperspectral image classification (HSIC). Convolutional neural networks (CNNs) have …