Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey

Conventional to Deep Ensemble Methods for Hyperspectral Image Classification: A Comprehensive Survey

Hyperspectral image classification (HSIC) has become a hot research topic. Hyperspectral imaging (HSI) has been widely used in a wide range of real-world application areas due to the in-depth spectral information stored within each pixel. Noticeably, the detailed features, i.e., a nonlinear correlat...

Full description

Bibliographic Details
Main Authors: Farhan Ullah, Irfan Ullah, Rehan Ullah Khan, Salabat Khan, Khalil Khan, Giovanni Pau
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
deep ensemble
deep learning (DL)
hyperspectral image classification (HSIC)
spatial features
spectral features
Online Access:https://ieeexplore.ieee.org/document/10398446/

Internet

https://ieeexplore.ieee.org/document/10398446/

Similar Items