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Unsupervised Dimensionality Reduction for Hyperspectral Imagery via Local Geometric Structure Feature Learning

  • Published:2020-08 Issue:8 Volume:17 Page:1425-1429
  • ISSN:1545-598X
  • Container-title:IEEE Geoscience and Remote Sensing Letters
  • language:
  • Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Shi Guangyao,Huang HongORCID,Wang Lihua

Funder

Basic and Frontier Research Programmes of Chongqing

Chongqing University Postgraduates Innovation Project

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

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1. EGCN: Enhanced Graph Convolutional Network for Hyperspectral Image Classification;Proceedings of the 2024 3rd International Conference on Networks, Communications and Information Technology;2024-06-07

2. An extensive review of hyperspectral image classification and prediction: techniques and challenges;Multimedia Tools and Applications;2024-03-09

3. A novel model for hyper spectral image enhancement and classification: PCA, MBAO and CNN integration;Optical and Quantum Electronics;2024-01-27

4. Dimensionality Reduction via Local Structure-Aware Collaborative Graph Embedding for Hyperspectral Remote Sensing Image;Proceedings of the 2024 7th International Conference on Image and Graphics Processing;2024-01-19

5. Dimensionality reduction method based on multiple feature-space collaborative discriminative projection for rotor fault diagnosis;Measurement Science and Technology;2023-02-08
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