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西北工业大学 国内
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Spectral-locational-spatial manifold learning for hyperspectral images dimensionality reduction
Na Li,
Deyun Zhou
, Jiao Shi, Tao Wu, Maoguo Gong
电子信息学院
Northwestern Polytechnical University Xian
Xidian University
科研成果
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探究 'Spectral-locational-spatial manifold learning for hyperspectral images dimensionality reduction' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Hyperspectral Image
100%
Dimensionality Reduction
100%
Manifold Learning
100%
Spatial Information
75%
Spatial Relationship
50%
Experimental Result
25%
Spatial Structure
25%
Support Vector Machine
25%
Cluster Centroid
25%
Classification Accuracy
25%
Unsupervised Manner
25%
Information Extraction
25%
Intrinsic Structure
25%
Reduction Algorithm
25%
k-Nearest Neighbors Algorithm
25%
Engineering
Hyperspectral Image
100%
Dimensionality
100%
Spatial Information
75%
Experimental Result
25%
Classification Accuracy
25%
Nearest Neighbor
25%
Spatial Structure
25%
Class Label
25%
Mathematics
Manifold
100%
Dimensionality Reduction
100%
Adjacency
50%
Nearest Neighbor
25%
Centroid
25%
Reduction Algorithm
25%
Class Label
25%
Earth and Planetary Sciences
Hyperspectral Image
100%
State of the Art
50%
Centroid
50%
Locale
50%