Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural …
X Zheng, H Sun, X Lu, W Xie - IEEE Transactions on Image …, 2022 - ieeexplore.ieee.org
Hyperspectral image (HSI) classification refers to identifying land-cover categories of pixels based on spectral signatures and spatial information of HSIs. In recent deep learning-based …
As an advanced artificial intelligence technique for solving learning problems, deep learning (DL) has achieved great success in many real-world applications and attracted increasing …
M Ahmad, S Shabbir, SK Roy, D Hong… - IEEE journal of …, 2021 - ieeexplore.ieee.org
Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information contained in each pixel. Notably …
Recently, embedding and metric-based few-shot learning (FSL) has been introduced into hyperspectral image classification (HSIC) and achieved impressive progress. To further …
Q Liu, J Peng, N Chen, W Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep learning (DL) has been extensively used for hyperspectral image classification (HSIC) with significant success, but the classification of high-dimensional hyperspectral image (HSI) …
S Jia, S Jiang, Z Lin, M Xu, W Sun… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
With the development of hyperspectral imaging technology, hyperspectral images (HSIs) have become important when analyzing the class of ground objects. In recent years …
Hyperspectral imaging (HSI) is a powerful tool that can capture and analyze a range of spectral bands, providing unparalleled levels of precision and accuracy in data analysis …
Pneumonia is one of the leading causes of death in both infants and elderly people, with approximately 4 million deaths each year. It may be a virus, bacterial, or fungal, depending …