Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification - Info and Reading Options
By Anil Kumar, A. Senthil Kumar and Priyadarshi Upadhyay
"Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification" was published by Taylor & Francis Group in 2020 - Boca Raton London New York, it has 208 pages and the language of the book is English.
“Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification” Metadata:
- Title: ➤ Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification
- Authors: Anil KumarA. Senthil KumarPriyadarshi Upadhyay
- Language: English
- Number of Pages: 208
- Publisher: Taylor & Francis Group
- Publish Date: 2020
- Publish Location: Boca Raton London New York
“Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification” Subjects and Themes:
- Subjects: ➤ Geography - Remote-sensing images - Classification - Data processing - Machine learning - Fuzzy algorithms - Images-satellite - Informatique - Apprentissage automatique - Algorithmes flous - COMPUTERS - Machine Theory - TECHNOLOGY - Environmental Engineering & Technology - Imaging Systems
Edition Identifiers:
- The Open Library ID: OL30166004M - OL21688051W
- ISBN-13: 9780367355715 - 9780429340369 - 9781000091540 - 9781000091526 - 9781000091533
- All ISBNs: 9780367355715 - 9780429340369 - 9781000091540 - 9781000091526 - 9781000091533
AI-generated Review of “Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification”:
"Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification" Description:
Open Data:
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
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