Tensor Singular Spectrum Analysis for 3-D Feature Extraction in Hyperspectral Images-Reference-Cited by-同舟云学术

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Tensor Singular Spectrum Analysis for 3-D Feature Extraction in Hyperspectral Images

Published:2023 Issue: Volume:61 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Fu Hang¹,Sun Genyun¹^ORCID,Zhang Aizhu¹^ORCID,Shao Baojie¹,Ren Jinchang²^ORCID,Jia Xiuping³^ORCID

Affiliation:

1. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China

2. School of Computer Sciences, Guangdong Polytechnic Normal University, Guangzhou, China

3. School of Engineering and Information Technology, University of New South Wales at Canberra, Canberra, ACT, Australia

Funder

National Natural Science Foundation of China

Opening Fund of the Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10122507.pdf?arnumber=10122507

Reference70 articles.

1. Fusion of PCA and Segmented-PCA Domain Multiscale 2-D-SSA for Effective Spectral-Spatial Feature Extraction and Data Classification in Hyperspectral Imagery

2. A Novel Band Selection and Spatial Noise Reduction Method for Hyperspectral Image Classification

3. Gaussian Pyramid Based Multiscale Feature Fusion for Hyperspectral Image Classification

4. Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD

5. A Two-Branch Network Combined With Robust Principal Component Analysis for Hyperspectral Image Classification

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3. EAS$$^2$$KAM: enhanced adaptive source-selection kernel with attention mechanism for hyperspectral image classification;Earth Science Informatics;2024-08-27

4. Principal space approximation ensemble discriminative marginalized least-squares regression for hyperspectral image classification;Engineering Applications of Artificial Intelligence;2024-07

5. Advanced Hyperspectral Image Analysis: Superpixelwise Multiscale Adaptive T-HOSVD for 3D Feature Extraction;Sensors;2024-06-22

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