Hyperspectral Remote Sensing Images Feature Extraction Based on Higher-Order Spectra-Reference-Cited by-同舟云学术

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Hyperspectral Remote Sensing Images Feature Extraction Based on Higher-Order Spectra

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Liu Jing¹^ORCID,Zhang Tong¹,Liu Yi²,Zhao Feng³^ORCID

Affiliation:

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

2. School of Electronic Engineering, Xidian University, Xi’an, China

3. School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shaanxi Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09893185.pdf?arnumber=9893185

Reference18 articles.

1. Deep Convolutional Neural Networks for Hyperspectral Image Classification

2. Learning and Transferring Deep Joint Spectral–Spatial Features for Hyperspectral Classification

3. Multiscale 3-D-CNN based on spatial–spectral joint feature extraction for hyperspectral remote sensing images classification

4. SRDA: An efficient algorithm for large-scale discriminant analysis;cai;IEEE Trans Knowl Data Eng,2008

5. Learning kernel parameters for kernel Fisher discriminant analysis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High-Resolution Remote Sensing Image Classification with Kernel Linear Discriminant Analysis;Handbook of Formal Optimization;2024

2. High-Resolution Remote Sensing Image Classification with Kernel Linear Discriminant Analysis;Handbook of Formal Optimization;2023-09-16

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