A Hyperspectral Image Classification Method Based on The Multi-Angle Feature Extraction-Reference-Cited by-同舟云学术

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A Hyperspectral Image Classification Method Based on The Multi-Angle Feature Extraction

Published:2023-07-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Electronic Information and Communication Technology (ICEICT)
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Author:

Guo Ruitong¹,Gao Jingpeng¹,Zhang Tianran²,Wu Chaoqun³,Zhao Pengjie¹

Affiliation:

1. College of Information and Communication Engineering, Harbin Engineering University,Harbin,China,150001

2. Beijing Institute of Electronic System Engineering,Beijing,China,100854

3. Shool of Automobile and Traffic Engineering, Heilongjiang Institute of Technology,Harbin,China,150050

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244769/10244774/10245395.pdf?arnumber=10245395

Reference10 articles.

1. Fast principal component analysis for hyperspectral imaging based on cloud computing

2. Going Deeper With Contextual CNN for Hyperspectral Image Classification

3. Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classification

4. Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection

5. l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing

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