Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

ISBN-13: 9780367355715 / Angielski / Twarda / 2020 / 194 str.

Anil Kumar; A. Senthil Kumar; Priyadarshi Upadhyay

Opis

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. All algorithms are supported by in-house developed tool as SMIC.

Spis treści

Chapter 1 Machine Learning Chapter 2 Ground Truth Data for Remote Sensing Image Classification Chapter 3 Fuzzy Classifiers Chapter 4 Learning Based Classifiers Chapter 5 Hybrid Fuzzy Classifiers Chapter 6 Fuzzy Classifiers for Temporal Data Processing Chapter 7 Assessment of Accuracy for Soft Classified Outputs