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 details about the temporal indices database using proposed class-based sensor independent approach supported by practical examples. Fuzzy based algorithms with machine learning algorithms to prepare land …
Read More ↓Title Statements
- Full title :Fuzzy machine learning algorithms for remote sensing image classification / Anil Kumar, Priyadarshi Upadhyay, A. Senthil Kumar.
Summary
"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 details about the temporal indices database using proposed class-based sensor independent approach supported by practical examples. Fuzzy based algorithms with machine learning algorithms to prepare land cover maps is discussed. Accuracy assessment for soft classification outputs are included and all algorithms are supported by in-house developed tool as Sub-pixel Multi-spectral Image Classifier"--
Read More ↓Edition Statements
- Publication Date:©2020
- Edition:First edition
Publication Statements
- Publisher(s):CRC Press/Taylor & Francis Group
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:©2020
The Physical Object
- Description:1 online resource (xxv, 192 pages) : : illustrations
Edition Identifiers
- ISBN:9780429340369, 0429340362, 9781000091540, 1000091546, 9781000091526, 100009152X, 9781000091533, 1000091538
- DOI:10.1201/9780429340369
- oclc:on1173541732
- LC Classification:G70.4
- Dewey Decimal:526.9/820285633
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.
Read More ↓Subjects
Writers
No reviews yet. Be the first to rate this work.
Related Works
more →
Computational intelligence for human action recognition
Proceedings of a Workshop on Statistics on Networks
Practical big data analytics: hands-on techniques to implement enterp…
Dasgupta, Nataraj
Gamification und Serious Games : Grundlagen, Vorgehen und Anwendungen
Strahringer, Susanne
Rate & Review