Dimensionality Reduction and Classification of Hyperspectral Images by Spatial-Spectral Similarity Measure Using Distance Correlation Coefficient-Reference-Cited by-同舟云学术

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Dimensionality Reduction and Classification of Hyperspectral Images by Spatial-Spectral Similarity Measure Using Distance Correlation Coefficient

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Artificial Intelligence and Computer Information Technology (AICIT)
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Author:

Sun Peilin¹,Qin Xu¹

Affiliation:

1. School of Mathematical Sciences, University of Electronic Science and Technology of China,Chengdu,P.R. China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275801/10277698/10278006.pdf?arnumber=10278006

Reference12 articles.

1. Hyperspectral image processing and analysis;mohan;Current Science,2015

2. The Isomap Algorithm and Topological Stability

3. A Novel Spatial–Spectral Similarity Measure for Dimensionality Reduction and Classification of Hyperspectral Imagery

4. Hyperspectral Dimensionality Reduction Based on Inter-Band Redundancy Analysis and Greedy Spectral Selection

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