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Texture augmented analysis of high resolution satellite imagery in detecting invasive plant species
Fuan Tsai
, Ming Jhong Chou
前瞻科技研究中心
太空及遙測研究中心
土木工程學系
研究成果
:
雜誌貢獻
›
期刊論文
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同行評審
42
引文 斯高帕斯(Scopus)
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深入研究「Texture augmented analysis of high resolution satellite imagery in detecting invasive plant species」主題。共同形成了獨特的指紋。
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Keyphrases
Invasive Plant Species
100%
High Resolution Satellite Images
100%
Taiwan
50%
Spatial Characteristics
50%
Southern Taiwan
50%
Texture Features
50%
Spatial Data
50%
Ground Truth Data
50%
Local Ecosystem
50%
High-resolution Satellite
50%
Image Classification Techniques
50%
Plant Species
50%
Analysis Parameters
50%
Ground Object
50%
Alien Species
50%
Local Biodiversity
50%
High-resolution Image
50%
Multispectral Image Classification
50%
QuickBird Image
50%
High-resolution Imagery
50%
Leucaena Leucocephala
50%
Spectral Discrimination
50%
Vegetation Type
50%
Vegetation Mapping
50%
Texture Analysis
50%
Vegetation Cover
50%
Earth and Planetary Sciences
Satellite Imagery
100%
Plant Specie
100%
Taiwan
66%
Multispectral Image
33%
Image Classification
33%
Spatial Variation
33%
QuickBird
33%
Introduced Species
33%
Vegetation Cover
33%
Vegetation Mapping
33%
Vegetation Type
33%
Agricultural and Biological Sciences
Invasive Plants
100%
Vegetation Cover
50%
Leucaena leucocephala
50%
Vegetation Type
50%
Introduced Species
50%