Cover Image

Fuzzy machine learning algorithms for remote sensing image classification /

"This book covers the state of art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy based learning methods including applications for preparing land cover classification outputs from actual satellite data. It provides...

Full description

Bibliographic Details
Main Authors: Kumar, Anil (Engineer) (Author), Kumar, A. Senthil (Author), Upadhyay, Priyadarshi (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton : CRC Press/Taylor & Francis Group, 2020.
Edition:First edition.
Subjects:
Remote-sensing images > Classification.
Remote-sensing images > Data processing.
Machine learning.
Fuzzy algorithms.
Images-satellite > Classification.
Images-satellite > Informatique.
Apprentissage automatique.
Algorithmes flous.
COMPUTERS > Machine Theory.
TECHNOLOGY > Environmental Engineering & Technology.
TECHNOLOGY > Imaging Systems.
Fuzzy algorithms
Machine learning
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Machine learning
  • Ground truth data for remote sensing image classification
  • Fuzzy classifiers
  • Learning based classifiers
  • Hybrid fuzzy classifiers
  • Fuzzy classifiers for temporal data processing
  • Assessment of accuracy for soft classification.