An Efficient and Adaptive Reconstructive Homogeneous Block-Based Local Tensor Robust PCA for Feature Extraction of Hyperspectral Images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An Efficient and Adaptive Reconstructive Homogeneous Block-Based Local Tensor Robust PCA for Feature Extraction of Hyperspectral Images

Published:2024 Issue: Volume:17 Page:4392-4407
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:

Qian Longxia¹^ORCID,Wang Xianyue¹^ORCID,Hong Mei²^ORCID,Wang Hongrui³^ORCID,Zhang Yongchui²^ORCID

Affiliation:

1. School of Science, Nanjing University of Posts and Telecommunications, Nanjing, China

2. College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China

3. College of Water Science, Beijing Normal University, Beijing, China

Funder

National Natural Science Foundation of China

High Impact Weather Key Laboratory of CMA

Humanities and Social Science Fund of Ministry of Education

Natural Science Foundation of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10409499.pdf?arnumber=10409499

Reference40 articles.

1. Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning

2. MCE-ST: Classifying crop stress using hyperspectral data with a multiscale conformer encoder and spectral-based tokens

3. An efficient dual feature fusion model of feature extraction for hyperspectral images

4. Texture-aware total variation-based removal of sun glint in hyperspectral images

5. Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP