Hyperspectral Image Labeling and Classification Using an Ensemble Semi-Supervised Machine Learning Approach

Hyperspectral Image Labeling and Classification Using an Ensemble Semi-Supervised Machine Learning Approach

Hyperspectral remote sensing has tremendous potential for monitoring land cover and water bodies from the rich spatial and spectral information contained in the images. It is a time and resource consuming task to obtain groundtruth data for these images by field sampling. A semi-supervised method fo...

Full description

Bibliographic Details
Main Authors: Vidya Manian, Estefanía Alfaro-Mejía, Roger P. Tokars
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
hyperspectral images
semi-supervised learning
groundtruth
labeling
feature extraction
principal components analysis
Online Access:https://www.mdpi.com/1424-8220/22/4/1623

Internet

https://www.mdpi.com/1424-8220/22/4/1623

Similar Items