Evaluation of Dimensionality Reduction of Hyperspectral Images for Spatial-Spectral Classification Framework-Reference-Cited by-同舟云学术

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Evaluation of Dimensionality Reduction of Hyperspectral Images for Spatial-Spectral Classification Framework

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
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Author:

Agrawal Neelam¹,Govil Himanshu²,Mukherjee Sudipta³

Affiliation:

1. National Institute of Technology,Department of Computer Applications,Raipur,India

2. National Institute of Technology,Department of Applied Geology,Raipur,India

3. Rayat Bahra University,School of Tourism Airlines and Hotel Management,Chandigarh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987721/9988754/09988758.pdf?arnumber=9988758

Reference36 articles.

1. Kernel principal component analysis

2. Support-vector networks

3. Neighborhood preserving embedding;he;Tenth IEEE International Conference on Computer Vision (ICCV’05),2005

4. Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations

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