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Effectiveness of the red-edge band of RapidEye in land cover classification
Tzu Ying Chen
, Hui Hsin Chen
,
Tee Ann Teo
*
, Peter Tian Yuan Shih
*
此作品的通信作者
土木工程學系
國立陽明交通大學
研究成果
:
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2
引文 斯高帕斯（Scopus）
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Keyphrases
Land Cover Classification
100%
Red-edge Band
100%
RapidEye
100%
Principal Coordinate Analysis (PCoA)
28%
Factor Loadings
28%
Rice Paddy
28%
Satellite Images
14%
Support Vector Machine
14%
Peanut
14%
Maximum Likelihood Classification
14%
Overall Accuracy
14%
Visible Band
14%
K-means Algorithm
14%
Training Samples
14%
Vegetation Index
14%
Semi-supervised Classification
14%
Iterative Self-organizing Data Analysis
14%
NDVI-RE
14%
Vegetation Classification
14%
Vegetation Regions
14%
Earth and Planetary Sciences
Land Cover
100%
RapidEye
100%
Principal Component Analysis
50%
Satellite Image
25%
Reflectance
25%
Vegetation
25%
Vegetation Index
25%
Vegetation Classification
25%
Supervised Image Classification
25%
Support Vector Machine
25%
Engineering
Band Edge
100%
Land Cover
100%
Principal Components
28%
Component Analysis
28%
Maximum Likelihood
14%
Likelihood Classifier
14%
Image Classification
14%
K-Means Classification Algorithm
14%
Reflectance
14%
Support Vector Machine
14%
Agricultural and Biological Sciences
Red Edge
100%
Land Cover
100%
Paddies
28%
Principal Component Analysis
28%
Support Vector Machine
14%
Peanut
14%
Vegetation Index
14%