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Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Laplacian Regularized Collaborative Representation Projection

  • Published:2022 Issue: Volume:19 Page:1-5
  • ISSN:1545-598X
  • Container-title:IEEE Geoscience and Remote Sensing Letters
  • language:
  • Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Jiang XinweiORCID,Xiong LiwenORCID,Yan Qin,Zhang YongshanORCID,Liu XiaoboORCID,Cai ZhihuaORCID

Funder

National Natural Science Foundation of China

Joint Funds of the National Natural Science Foundation of China

Natural Resources Command and Supervision System in Hubei Province

Open Research Project of The Hubei Key Laboratory of Intelligent Geo-Information Processing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Reference22 articles.

1. Nonlinear Dimensionality Reduction by Locally Linear Embedding

2. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

3. Neighborhood preserving embedding;he;Proc 10th IEEE Int Conf Comput Vis (ICCV),2005

4. Locality preserving projections;he;Proc Neural Inf Process Syst (NIPS),2003

5. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

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