Skip to main navigation
Skip to search
Skip to main content
Beijing Institute of Technology Home
English
中文
Home
Profiles
Research units
Research output
Prizes
Search by expertise, name or affiliation
Collaborative representation-based semisupervised feature extraction of hyperspectral images using attraction points
Fanduo Li,
Meng Lv
, Ling Jing
*
*
Corresponding author for this work
Zhejiang University
China Agricultural University
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Collaborative representation-based semisupervised feature extraction of hyperspectral images using attraction points'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Feature Extraction
100%
Hyperspectral Image
100%
Collaborative Representation
100%
Statistical Moment
40%
Experimental Result
20%
Training Sample
20%
Linear Discriminant Analysis
20%
High Dimensional Data
20%
Projection Matrix
20%
Preprocessing Step
20%
Related Feature
20%
Engineering
Feature Extraction
100%
Hyperspectral Image
100%
Statistical Moment
40%
Experimental Result
20%
Dimensional Data
20%
Singularities
20%
Multiple Sample
20%
Separability
20%
Mathematics
Matrix (Mathematics)
100%
Dimensional Data
33%
Training Sample
33%
Discriminant Analysis
33%
Projection Matrix
33%
Chemistry
Hyperspectral Imaging
100%
Isolation Method
100%