A Pseudo-Label Guided Artificial Bee Colony Algorithm for Hyperspectral Band Selection
Hyperspectral remote sensing images have characteristics such as high dimensionality and high redundancy. This paper proposes a pseudo-label guided artificial bee colony band selection algorithm with hypergraph clustering (HC-ABC) to remove redundant and noise bands. Firstly, replacing traditional p...
Main Authors: | Chunlin He, Yong Zhang, Dunwei Gong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/20/3456 |
Similar Items
-
Global Gbest Guided-Artificial Bee Colony Algorithm for Numerical Function Optimization
by: Habib Shah, et al.
Published: (2018-12-01) -
Constrained Optimization by Artificial Bee Colony Framework
by: Weifeng Gao, et al.
Published: (2018-01-01) -
Quadrature mirror filter bank design based on hybrid bee colony technique
by: Hitendra Singh, et al.
Published: (2021-04-01) -
Artificial Bee Colony with Different Mutation Schemes: A comparative study
by: Iyad Abu Doush, et al.
Published: (2014-03-01) -
A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing
by: Tarik A. Rashid, et al.
Published: (2018-06-01)