Graph-Embedding Balanced Transfer Subspace Learning for Hyperspectral Cross-Scene Classification
Author:
Affiliation:
1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
2. School of Automation, Beijing Information Science and Technology University, Beijing, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09745389.pdf?arnumber=9745389
Reference42 articles.
1. Why principal component analysis is not an appropriate feature extraction method for hyperspectral data
2. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
3. Sparse and Low-Rank Graph for Discriminant Analysis of Hyperspectral Imagery
4. Graph Embedding and Distribution Alignment for Domain Adaptation in Hyperspectral Image Classification
5. Discriminative Transfer Joint Matching for Domain Adaptation in Hyperspectral Image Classification
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