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Collaborative representation-based semisupervised feature extraction of hyperspectral images using attraction points
Fanduo Li,
Meng Lv
, Ling Jing
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此作品的通讯作者
Zhejiang University
China Agricultural University
科研成果
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3
引用 (Scopus)
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探究 'Collaborative representation-based semisupervised feature extraction of hyperspectral images using attraction points' 的科研主题。它们共同构成独一无二的指纹。
分类
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按字母排序
Computer Science
Collaborative Representation
100%
Experimental Result
20%
Feature Extraction
100%
High Dimensional Data
20%
Hyperspectral Image
100%
Linear Discriminant Analysis
20%
Preprocessing Step
20%
Projection Matrix
20%
Related Feature
20%
Statistical Moment
40%
Training Sample
20%
Engineering
Dimensional Data
20%
Experimental Result
20%
Feature Extraction
100%
Hyperspectral Image
100%
Multiple Sample
20%
Separability
20%
Singularities
20%
Statistical Moment
40%
Mathematics
Dimensional Data
33%
Discriminant Analysis
33%
Matrix (Mathematics)
100%
Projection Matrix
33%
Training Sample
33%
Chemistry
Hyperspectral Imaging
100%
Isolation Method
100%