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Neural network for change detection of remotely sensed imagery
C. F. Chen
, Kun S. Chen, J. S. Chang
太空及遙測研究中心
研究成果
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會議論文篇章
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同行評審
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引文 斯高帕斯(Scopus)
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深入研究「Neural network for change detection of remotely sensed imagery」主題。共同形成了獨特的指紋。
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Keyphrases
Neural Network
100%
Remote Sensing Image
100%
Change Detection
100%
Training Step
66%
Network Weight
66%
Training Set
33%
Land Cover
33%
Training Data
33%
Land Use
33%
Single Image
33%
Satellite Imagery
33%
SPOT Imagery
33%
Remote Sensing Data
33%
Combined Image
33%
Change Detection Method
33%
Data Change
33%
Training Data Selection
33%
Change Pattern Detection
33%
Engineering
Land Use
100%
Single Image
100%
Spectral Information
100%
Main Step
100%
Pattern Detection
100%
Temporal Information
100%
Land Cover
100%
Computer Science
Neural Network
100%
Training Data
66%
Spectral Information
33%
Pattern Detection
33%
Temporal Information
33%
Change Detection Method
33%
Remotely Sensed Data
33%
Change Pattern
33%
Earth and Planetary Sciences
Change Detection
100%
Land Cover
25%
SPOT
25%
Detection Method
25%
Satellite Imagery
25%
Land Use
25%
Chemical Engineering
Neural Network
100%