Structural graph learning method for hyperspectral band selection-Reference-Cited by-同舟云学术

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Structural graph learning method for hyperspectral band selection

Published:2024-09-10 Issue:18 Volume:45 Page:6719-6743
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Li Shuying¹²,Liu Zhe¹,Fang Long³,Li Qiang⁴

Affiliation:

1. School of Automation, Xi’an University of Posts and Telecommunications, Xi’an, China

2. Shanghai Artificial Intelligence Laboratory, Shanghai, China

3. Northwest Institute of Nuclear Technology, Xi’an, China

4. School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi’an, China

Funder

Research and Development

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2394231

Reference50 articles.

1. Hyperspectral Vision Based Probe for In Situ Corrosion Monitoring in Saline Environments

2. Semi-Supervised Hyperspectral Band Selection Based on Dynamic Classifier Selection

3. Self-Mutual Information-Based Band Selection for Hyperspectral Image Classification

4. Constrained band selection for hyperspectral imagery

5. Superpixel-Based Collaborative and Low-Rank Regularization for Sparse Hyperspectral Unmixing

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