An Improved Ant Colony Algorithm for Optimized Band Selection of Hyperspectral Remotely Sensed Imagery

An Improved Ant Colony Algorithm for Optimized Band Selection of Hyperspectral Remotely Sensed Imagery

The ant colony algorithm (ACA) has been widely used for reducing the dimensionality of hyperspectral remote sensing imagery. However, the ACA suffers from problems of slow convergence and of local optima (caused by loss of population diversity). This paper proposes an improved ant colony algorithm (...

Full description

Bibliographic Details
Main Authors: Xiaohui Ding, Huapeng Li, Ji Yang, Patricia Dale, Xiangcong Chen, Chunlei Jiang, Shuqing Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Hyperspectral remotely sensed imagery
band selection
ant colony algorithm
artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/8979373/

Similar Items

Similar Items