Evidence map›Paper›PMID 41446555›Full record

ArticleIEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society2022

Hyperspectral Image Denoising Using Nonconvex Local Low-Rank and Sparse Separation With Spatial-Spectral Total Variation Regularization.

Chong Peng, Yang Liu, Kehan Kang, Yongyong Chen, Xinxin Wu, Andrew Cheng, Zhao Kang, Chenglizhao Chen, Qiang Cheng

Abstract read
In one paragraph

Article in IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chong PengCollege of Computer Science and Technology, Qingdao University.
Yang LiuCollege of Computer Science and Technology, Qingdao University.
Kehan KangCollege of Computer Science and Technology, Qingdao University.
Yongyong ChenCollege of Computer Science, Harbin Institute of Technology.
Xinxin WuDepartment of Computer Science, University of Kentucky.
Andrew ChengDepartment of Statistics and Applied Probability, University of California, Santa Barbara.
Zhao KangSchool of Computer Science and Engineering, University of Electronic Science and Technology of China.
Chenglizhao ChenCollege of Computer Science and Technology, Qingdao University.
Qiang ChengInstitute of Biomedical Informatics & Department of Computer Science, University of Kentucky.

Funding

Small vessel disease biomarkers in a longitudinally-followed "stroke-belt" cohortUH3NS100606 · NINDS · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, WILCOCK, DONNA M · 2018 to 2020
$3.4M
Gene Profile Analysis of Associations between Alzheimer’s Disease and Circadian Rhythmic Patterns of Human Brain Regions Using Machine LearningR21AG070909 · NIA · UNIVERSITY OF KENTUCKY · PI CHENG, QIANG · 2021 to 2021
$421k
NIA NIH HHS R21 AG070909NINDS NIH HHS UH3 NS100606
6 · The paper itself

Abstract

In this paper, we propose a novel nonconvex approach to robust principal component analysis for HSI denoising, which focuses on simultaneously developing more accurate approximations to both rank and column-wise sparsity for the low-rank and sparse components, respectively. In particular, the new method adopts the log-determinant rank approximation and a novel

Indexed as

Hyperspectral imagelow-rankrobust principal component analysissparse

Identifiers

PMID41446555
PMCPMC12726971

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.