Deep learning methods have shown their marvel performance on hyperspectral image (HSI)
classification tasks. In particular, algorithms based on convolution neural network (CNN) …

Deep learning techniques have boosted the performance of hyperspectral image (HSI)
classification. In particular, convolutional neural networks (CNNs) have shown superior …

Deep learning models have shown excellent performance in the hyperspectral remote
sensing image (HSI) classification. In particular, convolutional neural networks (CNNs) have …

Convolutional neural networks (CNNs) have recently exhibited an excellent performance in
hyperspectral image classification tasks. However, the straightforward CNN-based network …

Hyperspectral image (HSI) classification is one of the most challenging problems in
understanding HSI. Convolutional neural network (CNN), with the strong ability to extract …

Hyperspectral image (HSI) classification is a hot topic in remote sensing community; many
researchers have made a great deal of effort in this domain. Recently, deep learning‐based …

In this paper, we propose two novel classification frameworks for hyperspectral image (HSI)
based on capsule network (CapsNet), which could address the drawbacks of convolutional …

Convolutional neural networks (CNNs) showed impressive performance for hyperspectral
image (HSI) classification. Nevertheless, convolutional layers contain massive parameters …

Convolutional neural network (CNN) has been successfully introduced to hyperspectral
image (HSI) classification and achieved effective performance. With the depth of the CNN …

Recently, hyperspectral image (HSI) classification methods based on convolutional neural
networks (CNN) have shown impressive performance. However, HSI classification still faces …