Multiclass Non-Randomized Spectral–Spatial Active Learning for Hyperspectral Image Classification

Multiclass Non-Randomized Spectral–Spatial Active Learning for Hyperspectral Image Classification

Active Learning (AL) for Hyperspectral Image Classification (HSIC) has been extensively studied. However, the traditional AL methods do not consider randomness among the existing and new samples. Secondly, very limited AL research has been carried out on joint spectral–spatial information. Thirdly,...

Full description

Bibliographic Details
Main Authors: Muhammad Ahmad, Manuel Mazzara, Rana Aamir Raza, Salvatore Distefano, Muhammad Asif, Muhammad Shahzad Sarfraz, Adil Mehmood Khan, Ahmed Sohaib
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
Hyperspectral Image Classification (HSIC)
Active Learning (AL)
Query Function
ELM
KNN
SVM
Online Access:https://www.mdpi.com/2076-3417/10/14/4739

Internet

https://www.mdpi.com/2076-3417/10/14/4739

Similar Items