TY  - BOOK
AU  - Kumar,Anil
AU  - Kumar,A.Senthil
AU  - Upadhyay,Priyadarshi
TI  - Fuzzy machine learning algorithms for remote sensing image classification
SN  - 9780429340369
AV  - G70.4 
U1  - 526.9/820285633 23
PY  - 2020///
CY  - Boca Raton
PB  - CRC Press
KW  - Remote-sensing images
KW  - Classification
KW  - Data processing
KW  - Machine learning
KW  - Fuzzy algorithms
KW  - COMPUTERS / Machine Theory
KW  - bisacsh
KW  - TECHNOLOGY / Environmental Engineering & Technology
KW  - TECHNOLOGY / Imaging Systems
N1  - 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
N2  - "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"--
UR  - https://www.taylorfrancis.com/books/9780429340369
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -