Structure-Preserved and Weakly Redundant Band Selection for Hyperspectral Imagery-Reference-Cited by-同舟云学术

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Structure-Preserved and Weakly Redundant Band Selection for Hyperspectral Imagery

Published:2024 Issue: Volume:17 Page:12490-12504
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Fu Baijia¹,Sun Xudong²^ORCID,Cui Chuanyu¹,Zhang Jiahua³,Shang Xiaodi¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Qingdao University, Qingdao, China

2. School of Information Science and Technology, Dalian Maritime University, Dalian, China

3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Funder

Natural Science Foundation of Qingdao Municipality

China Postdoctoral Science Foundation

Postdoctoral Applied Research Foundation of Qingdao

National Natural Science Foundation of China

Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10592298.pdf?arnumber=10592298

Reference55 articles.

1. Sliding Dual-Window-Inspired Reconstruction Network for Hyperspectral Anomaly Detection

2. Imaging Spectrometry for Earth Remote Sensing

3. Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)

4. PDBSNet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network for Hyperspectral Anomaly Detection

5. Endmember Extraction of Hyperspectral Remote Sensing Images Based on the Ant Colony Optimization (ACO) Algorithm

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. SSANet-BS: Spectral–Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection;Remote Sensing;2024-08-03

2. Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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