Unsupervised meta learning with multiview constraints for hyperspectral image small sample set classification

K Gao, B Liu, X Yu, A Yu - IEEE Transactions on Image …, 2022 - ieeexplore.ieee.org
The difficulties of obtaining sufficient labeled samples have always been one of the factors
hindering deep learning models from obtaining high accuracy in hyperspectral image (HSI) …

DSS-TRM: Deep spatial–spectral transformer for hyperspectral image classification

B Liu, A Yu, K Gao, X Tan, Y Sun… - European Journal of …, 2022 - Taylor & Francis
In recent years, the wide use of deep learning based methods has greatly improved the
classification performance of hyperspectral image (HSI). As an effective method to improve …

Multiple feature-based superpixel-level decision fusion for hyperspectral and LiDAR data classification

S Jia, Z Zhan, M Zhang, M Xu, Q Huang… - … on Geoscience and …, 2020 - ieeexplore.ieee.org
The rapid increase in the number of remote sensing sensors makes it possible to develop
multisource feature extraction and fusion techniques to improve the classification accuracy …

Small sample classification of hyperspectral image using model-agnostic meta-learning algorithm and convolutional neural network

K Gao, B Liu, X Yu, P Zhang, X Tan… - International Journal of …, 2021 - Taylor & Francis
The difficulties of obtaining sufficient high-quality labelled samples have always been one of
the important factors hindering the practical application of hyperspectral images (HSI) …

Research on finger vein image segmentation and blood sampling point location in automatic blood collection

X Li, Z Li, D Yang, L Zhong, L Huang, J Lin - Sensors, 2020 - mdpi.com
In the fingertip blood automatic sampling process, when the blood sampling point in the
fingertip venous area, it will greatly increase the amount of bleeding without being …