A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers
Hyperspectral Image Classification (HSC) is a challenging task due to the high
dimensionality and complex nature of Hyperspectral (HS) data. Traditional Machine …
dimensionality and complex nature of Hyperspectral (HS) data. Traditional Machine …
Detecting Nearshore Underwater Targets with Hyperspectral Nonlinear Unmixing Autoencoder
J Liu, J Qi, D Zhu, H Wen, H Jiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Hyperspectral underwater target detection (HUTD) is a promising and challenging task in
remote sensing image processing. Existing methods face significant challenges when …
remote sensing image processing. Existing methods face significant challenges when …
MultiScale spectral–spatial convolutional transformer for hyperspectral image classification
Due to the powerful ability in capturing the global information, transformer has become an
alternative architecture of CNNs for hyperspectral image classification. However, general …
alternative architecture of CNNs for hyperspectral image classification. However, general …