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UNDERSTANDING MULTISPECTRAL SATELLITE IMAGE LAND COVER CLASSIFICATION WITH THE DEEP LEARNING
Wei Zhen Lin,
Chih Yuan Huang
Center for Space and Remote Sensing Research
Department of Civil Engineering
Research output
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peer-review
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Dive into the research topics of 'UNDERSTANDING MULTISPECTRAL SATELLITE IMAGE LAND COVER CLASSIFICATION WITH THE DEEP LEARNING'. Together they form a unique fingerprint.
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Keyphrases
Deep Learning
100%
Land Cover Classification
100%
Multispectral Satellite Images
100%
Land Use Land Cover
50%
Convolutional Neural Network
50%
EuroSAT
50%
Artificial Neural Network
25%
Land Cover
25%
Neural Network
25%
Satellite Images
25%
Remote Sensing Image
25%
Spatial Features
25%
Spectral Properties
25%
Remote Sensing Data
25%
Spectral Features
25%
Deep Learning Network
25%
Spatial Properties
25%
Textural Information
25%
Spectral Relationship
25%
Remote Sensing Classification
25%
Cross Band
25%
Land Cover Prediction
25%
Earth and Planetary Sciences
Land Cover
100%
Satellite Image
100%
Remote Sensing
60%
Land Use
40%
State of the Art
20%
Artificial Neural Network
20%
Spectral Band
20%