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Segmentation of high resolution satellite imagery using texture and spectral information
Chi farn Chen
太空及遙測研究中心
土木工程學系
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引文 斯高帕斯(Scopus)
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深入研究「Segmentation of high resolution satellite imagery using texture and spectral information」主題。共同形成了獨特的指紋。
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Keyphrases
Spatial Data
100%
High Resolution Satellite Images
100%
Spectral Information
100%
Texture Information
100%
Segmentation Method
66%
Per-pixel
66%
Training Set
33%
Spatial Resolution
33%
Land Use Land Cover
33%
Classification Algorithms
33%
Satellite Images
33%
Satellite Imagery
33%
Spectral Response
33%
Pixel Classification
33%
Whole Image
33%
Multiple Levels
33%
Segmentation Approach
33%
Multispectral Data
33%
Landsat MSS
33%
Low Contrast
33%
Spectral Statistics
33%
Spectral Data
33%
Land Use Classification
33%
Earth Resources
33%
Multilevel Segmentation
33%
Spatial Measurement
33%
Window Operation
33%
Resource Satellite
33%
High-resolution Data
33%
Engineering
High Resolution
100%
Spatial Information
100%
Spectral Information
100%
Texture Information
100%
Lookup Table
66%
Moving Window
66%
Classification Algorithm
33%
Land Use
33%
Spatial Resolution
33%
Spectral Response
33%
Segmentation Technique
33%
Multispectral Data
33%
Segmentation Method
33%
Level Detail
33%
Spectral Statistic
33%
Low Resolution Image
33%
Land Cover
33%
Computer Science
Spatial Information
100%
Spectral Information
100%
Texture Information
100%
Table Lookup
66%
Spatial Resolution
33%
Satellite Image
33%
Classification Algorithm
33%
Segmentation Approach
33%
Segmentation Method
33%
Segmentation Technique
33%
Multispectral Data
33%
Low Resolution Image
33%
Earth and Planetary Sciences
Satellite Imagery
100%
Land Cover
33%
Spatial Resolution
33%
Satellite Image
33%
SPOT
33%
Landsat Multispectral Scanner
33%
Land Use Classification
33%
Earth Resource
33%