A New Framework for Hyperspectral Image Classification Using Multiple Semisupervised Collaborative Classification Algorithm

A New Framework for Hyperspectral Image Classification Using Multiple Semisupervised Collaborative Classification Algorithm

Hyperspectral images (HSIs) have evident advantages in image understanding because of enormous spectral bands, and rich spatial information. However, applying the limited labeled samples to obtain satisfactory classification results is a challenging task. Secondary screening algorithm and semisuperv...

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Bibliographic Details
Main Authors: Ying Cui, Xiaowei Ji, Heng Wang, Kai Xu, Shaoqiao Wu, Liguo Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Active learning
hyperspectral image classification
semisupervised learning
Online Access:https://ieeexplore.ieee.org/document/8789423/

Internet

https://ieeexplore.ieee.org/document/8789423/

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